Special Interest Group on Information Retrieval Conference (2022)
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
Users: Can't Work With Them, Can't Work Without Them?
Alistair Moffat
Few-shot Information Extraction is Here: Pre-train, Prompt and Entail
Eneko Agirre
Searching for a New and Better Future of Work
Jaime Teevan
Intelligent Conversational Agents for Ambient Computing
Ruhi Sarikaya
Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank
Tao Yang
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Chen Luo
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Hanqing Lu
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Parth Gupta
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Bing Yin
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Qingyao Ai
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach
Shengyao Zhuang
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Hang Li
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Guido Zuccon
Bilateral Self-unbiased Learning from Biased Implicit Feedback
Jae-woong Lee
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Seongmin Park
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Joonseok Lee
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Jongwuk Lee
Interpolative Distillation for Unifying Biased and Debiased Recommendation
Sihao Ding
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Fuli Feng
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Xiangnan He
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Jinqiu Jin
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Wenjie Wang
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Yong Liao
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Yongdong Zhang
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering
Minghao Zhao
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Le Wu
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Yile Liang
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Lei Chen
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Jian Zhang
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Qilin Deng
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Kai Wang
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Xudong Shen
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Tangjie Lv
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Runze Wu
Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders
Zhihong Chen
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Jiawei Wu
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Chenliang Li
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Jingxu Chen
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Rong Xiao
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Binqiang Zhao
Hypergraph Contrastive Collaborative Filtering
Lianghao Xia
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Chao Huang
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Yong Xu
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Jiashu Zhao
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Dawei Yin
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Jimmy X. Huang
Geometric Disentangled Collaborative Filtering
Yiding Zhang
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Chaozhuo Li
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Xing Xie
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Xiao Wang
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Chuan Shi
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Yuming Liu
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Hao Sun
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Liangjie Zhang
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Weiwei Deng
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Qi Zhang
INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering
Yunfan Wu
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Qi Cao
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Huawei Shen
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Shuchang Tao
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Xueqi Cheng
Improving Implicit Alternating Least Squares with Ring-based Regularization
Rui Fan
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Jin Chen
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Jin Zhang
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Defu Lian
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Enhong Chen
Graph Trend Filtering Networks for Recommendation
Wenqi Fan
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Xiaorui Liu
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Wei Jin
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Xiangyu Zhao
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Jiliang Tang
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Qing Li
Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering
Changxin Tian
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Yuexiang Xie
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Yaliang Li
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Nan Yang
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Wayne Xin Zhao
Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems
Shuo Zhang
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Mu-Chun Wang
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Krisztian Balog
Conversational Question Answering on Heterogeneous Sources
Philipp Christmann
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Rishiraj Saha Roy
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Gerhard Weikum
Structured and Natural Responses Co-generation for Conversational Search
Chenchen Ye
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Lizi Liao
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Fuli Feng
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Wei Ji
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Tat-Seng Chua
Variational Reasoning about User Preferences for Conversational Recommendation
Zhaochun Ren
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Zhi Tian
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Dongdong Li
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Pengjie Ren
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Liu Yang
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Xin Xin
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Huasheng Liang
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Maarten de Rijke
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Zhumin Chen
Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval
Kelong Mao
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Zhicheng Dou
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Hongjin Qian
Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation
Wanwei He
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Yinpei Dai
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Min Yang
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Jian Sun
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Fei Huang
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Luo Si
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Yongbin Li
COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas
Chen Xu
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Piji Li
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Wei Wang
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Haoran Yang
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Siyun Wang
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Chuangbai Xiao
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy
Wenqiang Lei
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Yao Zhang
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Feifan Song
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Hongru Liang
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Jiaxin Mao
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Jiancheng Lv
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Zhenglu Yang
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Tat-Seng Chua
User-Centric Conversational Recommendation with Multi-Aspect User Modeling
Shuokai Li
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Ruobing Xie
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Yongchun Zhu
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Xiang Ao
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Fuzhen Zhuang
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Qing He
Generating Clarifying Questions with Web Search Results
Ziliang Zhao
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Zhicheng Dou
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Jiaxin Mao
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Ji-Rong Wen
ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement
Lulu Zhao
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Fujia Zheng
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Weihao Zeng
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Keqing He
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Ruotong Geng
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Huixing Jiang
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Wei Wu
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Weiran Xu
Learning to Infer User Implicit Preference in Conversational Recommendation
Chenhao Hu
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Shuhua Huang
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Yansen Zhang
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Yubao Liu
DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
Jiangxia Cao
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Xixun Lin
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Xin Cong
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Jing Ya
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Tingwen Liu
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Bin Wang
Structure-Aware Semantic-Aligned Network for Universal Cross-Domain Retrieval
Jialin Tian
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Xing Xu
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Kai Wang
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Zuo Cao
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Xunliang Cai
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Heng Tao Shen
Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation
Junda Wu
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Zhihui Xie
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Tong Yu
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Handong Zhao
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Ruiyi Zhang
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Shuai Li
Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition
Xinghua Zhang
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Bowen Yu
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Yubin Wang
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Tingwen Liu
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Taoyu Su
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Hongbo Xu
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation
Weiming Liu
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Xiaolin Zheng
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Jiajie Su
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Mengling Hu
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Yanchao Tan
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Chaochao Chen
HIEN: Hierarchical Intention Embedding Network for Click-Through Rate Prediction
Zuowu Zheng
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Changwang Zhang
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Xiaofeng Gao
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Guihai Chen
NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction
Guanghui Zhu
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Feng Cheng
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Defu Lian
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Chunfeng Yuan
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Yihua Huang
Enhancing CTR Prediction with Context-Aware Feature Representation Learning
Fangye Wang
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Yingxu Wang
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Dongsheng Li
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Hansu Gu
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Tun Lu
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Peng Zhang
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Ning Gu
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer
Erxue Min
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Yu Rong
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Tingyang Xu
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Yatao Bian
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Da Luo
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Kangyi Lin
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Junzhou Huang
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Sophia Ananiadou
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Peilin Zhao
ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation
Hao Wang
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Tai-Wei Chang
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Tianqiao Liu
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Jianmin Huang
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Zhichao Chen
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Chao Yu
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Ruopeng Li
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Wei Chu
Target-aware Abstractive Related Work Generation with Contrastive Learning
Xiuying Chen
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Hind Alamro
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Mingzhe Li
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Shen Gao
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Rui Yan
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Xin Gao
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Xiangliang Zhang
A Study of Cross-Session Cross-Device Search Within an Academic Digital Library
Sebastian Gomes
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Miriam Boon
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Orland Hoeber
DAWAR: Diversity-aware Web APIs Recommendation for Mashup Creation based on Correlation Graph
Wenwen Gong
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Xuyun Zhang
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Yifei Chen
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Qiang He
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Amin Beheshti
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Xiaolong Xu
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Chao Yan
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Lianyong Qi
Introducing Problem Schema with Hierarchical Exercise Graph for Knowledge Tracing
Hanshuang Tong
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Zhen Wang
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Yun Zhou
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Shiwei Tong
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Wenyuan Han
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Qi Liu
A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval
Yan Zhuang
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Qi Liu
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Zhenya Huang
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Zhi Li
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Binbin Jin
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Haoyang Bi
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Enhong Chen
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Shijin Wang
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect
Shuanghong Shen
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Zhenya Huang
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Qi Liu
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Yu Su
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Shijin Wang
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Enhong Chen
Incorporating Retrieval Information into the Truncation of Ranking Lists for Better Legal Search
Yixiao Ma
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Qingyao Ai
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Yueyue Wu
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Yunqiu Shao
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Yiqun Liu
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Min Zhang
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Shaoping Ma
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data
Yanchao Tan
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Carl Yang
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Xiangyu Wei
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Chaochao Chen
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Weiming Liu
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Longfei Li
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Jun Zhou
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Xiaolin Zheng
Interpreting Patient Descriptions using Distantly Supervised Similar Case Retrieval
Israa Alghanmi
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Luis Espinosa Anke
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Steven Schockaert
Few-shot Node Classification on Attributed Networks with Graph Meta-learning
Yonghao Liu
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Mengyu Li
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Ximing Li
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Fausto Giunchiglia
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Xiaoyue Feng
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Renchu Guan
Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning
Weili Guan
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Fangkai Jiao
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Xuemeng Song
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Haokun Wen
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Chung-Hsing Yeh
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Xiaojun Chang
KETCH: Knowledge Graph Enhanced Thread Recommendation in Healthcare Forums
Limeng Cui
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Dongwon Lee
Recognizing Medical Search Query Intent by Few-shot Learning
Yaqing Wang
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Song Wang
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Yanyan Li
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Dejing Dou
Single-shot Embedding Dimension Search in Recommender System
Liang Qu
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Yonghong Ye
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Ningzhi Tang
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Lixin Zhang
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Yuhui Shi
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Hongzhi Yin
Forest-based Deep Recommender
Chao Feng
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Defu Lian
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Zheng Liu
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Xing Xie
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Le Wu
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Enhong Chen
Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback
Yiling Jia
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Hongning Wang
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation
Xin Xia
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Hongzhi Yin
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Junliang Yu
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Qinyong Wang
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Guandong Xu
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Quoc Viet Hung Nguyen
IR Evaluation and Learning in the Presence of Forbidden Documents
David Carmel
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Nachshon Cohen
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Amir Ingber
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Elad Kravi
Human Preferences as Dueling Bandits
Xinyi Yan
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Chengxi Luo
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Charles L. A. Clarke
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Nick Craswell
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Ellen M. Voorhees
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Pablo Castells
A Flexible Framework for Offline Effectiveness Metrics
Alistair Moffat
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Joel Mackenzie
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Paul Thomas
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Leif Azzopardi
Ranking Interruptus: When Truncated Rankings Are Better and How to Measure That
Enrique Amigó
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Stefano Mizzaro
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Damiano Spina
Offline Retrieval Evaluation Without Evaluation Metrics
Fernando Diaz
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Andres Ferraro
Information Need Awareness: An EEG Study
Dominika Michalkova
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Mario Parra-Rodriguez
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Yashar Moshfeghi
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities
Vishwa Vinay
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Manoj Kilaru
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David Arbour
Why Don't You Click: Understanding Non-Click Results in Web Search with Brain Signals
Ziyi Ye
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Xiaohui Xie
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Yiqun Liu
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Zhihong Wang
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Xuancheng Li
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Jiaji Li
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Xuesong Chen
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Min Zhang
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Shaoping Ma
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations
Giacomo Balloccu
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Ludovico Boratto
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Gianni Fenu
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Mirko Marras
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction
Weijie Yu
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Zhongxiang Sun
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Jun Xu
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Zhenhua Dong
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Xu Chen
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Hongteng Xu
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Ji-Rong Wen
Towards Explainable Search Results: A Listwise Explanation Generator
Puxuan Yu
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Razieh Rahimi
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James Allan
Explainable Fairness in Recommendation
Yingqiang Ge
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Juntao Tan
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Yan Zhu
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Yinglong Xia
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Jiebo Luo
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Shuchang Liu
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Zuohui Fu
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Shijie Geng
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Zelong Li
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Yongfeng Zhang
PEVAE: A Hierarchical VAE for Personalized Explainable Recommendation
Zefeng Cai
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Zerui Cai
Joint Multisided Exposure Fairness for Recommendation
Haolun Wu
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Bhaskar Mitra
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Chen Ma
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Fernando Diaz
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Xue Liu
Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking
Ali Vardasbi
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Fatemeh Sarvi
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Maarten de Rijke
Measuring Fairness in Ranked Results: An Analytical and Empirical Comparison
Amifa Raj
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Michael D. Ekstrand
Optimizing Generalized Gini Indices for Fairness in Rankings
Virginie Do
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Nicolas Usunier
Pareto-Optimal Fairness-Utility Amortizations in Rankings with a DBN Exposure Model
Till Kletti
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Jean-Michel Renders
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Patrick Loiseau
Fairness of Exposure in Light of Incomplete Exposure Estimation
Maria Heuss
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Fatemeh Sarvi
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Maarten de Rijke
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems
Mohammadmehdi Naghiaei
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Hossein A. Rahmani
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Yashar Deldjoo
Structure and Semantics Preserving Document Representations
Natraj Raman
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Sameena Shah
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Manuela Veloso
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion
Adam Block
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Rahul Kidambi
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Daniel N. Hill
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Thorsten Joachims
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Inderjit S. Dhillon
Risk-Sensitive Deep Neural Learning to Rank
Pedro Henrique Silva Rodrigues
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Daniel Xavier de Sousa
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Thierson Couto Rosa
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Marcos André Gonçalves
RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows
Jiarui Qin
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Jiachen Zhu
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Bo Chen
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Zhirong Liu
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Weiwen Liu
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Ruiming Tang
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Rui Zhang
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Yong Yu
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Weinan Zhang
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback
Yunchang Zhu
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Liang Pang
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Yanyan Lan
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Huawei Shen
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Xueqi Cheng
Few-Shot Stance Detection via Target-Aware Prompt Distillation
Yan Jiang
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Jinhua Gao
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Huawei Shen
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Xueqi Cheng
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction
Xinyu Ma
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Jiafeng Guo
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Ruqing Zhang
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Yixing Fan
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Xueqi Cheng
Co-clustering Interactions via Attentive Hypergraph Neural Network
Tianchi Yang
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Cheng Yang
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Luhao Zhang
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Chuan Shi
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Maodi Hu
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Huaijun Liu
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Tao Li
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Dong Wang
Adaptable Text Matching via Meta-Weight Regulator
Bo Zhang
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Chen Zhang
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Fang Ma
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Dawei Song
Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction
Qika Lin
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Jun Liu
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Fangzhi Xu
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Yudai Pan
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Yifan Zhu
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Lingling Zhang
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Tianzhe Zhao
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
Xiang Chen
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Ningyu Zhang
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Lei Li
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Shumin Deng
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Chuanqi Tan
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Changliang Xu
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Fei Huang
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Luo Si
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Huajun Chen
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective
Ying Zhou
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Xuanang Chen
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Ben He
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Zheng Ye
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Le Sun
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding
Mingyang Chen
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Wen Zhang
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Yushan Zhu
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Hongting Zhou
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Zonggang Yuan
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Changliang Xu
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Huajun Chen
Multimodal Entity Linking with Gated Hierarchical Fusion and Contrastive Training
Peng Wang
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Jiangheng Wu
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Xiaohang Chen
CRET: Cross-Modal Retrieval Transformer for Efficient Text-Video Retrieval
Kaixiang Ji
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Jiajia Liu
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Weixiang Hong
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Liheng Zhong
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Jian Wang
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Jingdong Chen
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Wei Chu
Multimodal Disentanglement Variational AutoEncoders for Zero-Shot Cross-Modal Retrieval
Jialin Tian
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Kai Wang
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Xing Xu
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Zuo Cao
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Fumin Shen
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Heng Tao Shen
CenterCLIP: Token Clustering for Efficient Text-Video Retrieval
Shuai Zhao
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Linchao Zhu
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Xiaohan Wang
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Yi Yang
Bit-aware Semantic Transformer Hashing for Multi-modal Retrieval
Wentao Tan
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Lei Zhu
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Weili Guan
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Jingjing Li
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Zhiyong Cheng
V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation
Xuemeng Song
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Liqiang Jing
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Dengtian Lin
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Zhongzhou Zhao
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Haiqing Chen
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Liqiang Nie
Learn from Unlabeled Videos for Near-duplicate Video Retrieval
Xiangteng He
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Yulin Pan
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Mingqian Tang
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Yiliang Lv
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Yuxin Peng
Progressive Learning for Image Retrieval with Hybrid-Modality Queries
Yida Zhao
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Yuqing Song
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Qin Jin
You Need to Read Again: Multi-granularity Perception Network for Moment Retrieval in Videos
Xin Sun
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Xuan Wang
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Jialin Gao
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Qiong Liu
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Xi Zhou
Video Moment Retrieval from Text Queries via Single Frame Annotation
Ran Cui
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Tianwen Qian
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Pai Peng
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Elena Daskalaki
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Jingjing Chen
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Xiaowei Guo
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Huyang Sun
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Yu-Gang Jiang
HTKG: Deep Keyphrase Generation with Neural Hierarchical Topic Guidance
Yuxiang Zhang
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Tao Jiang
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Tianyu Yang
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Xiaoli Li
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Suge Wang
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning
Fangzhi Xu
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Jun Liu
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Qika Lin
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Yudai Pan
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Lingling Zhang
Personalized Abstractive Opinion Tagging
Mengxue Zhao
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Yang Yang
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Miao Li
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Jingang Wang
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Wei Wu
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Pengjie Ren
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Maarten de Rijke
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Zhaochun Ren
Contrastive Learning with Hard Negative Entities for Entity Set Expansion
Yinghui Li
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Yangning Li
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Yuxin He
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Tianyu Yu
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Ying Shen
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Hai-Tao Zheng
Unifying Cross-lingual Summarization and Machine Translation with Compression Rate
Yu Bai
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Heyan Huang
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Kai Fan
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Yang Gao
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Yiming Zhu
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Jiaao Zhan
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Zewen Chi
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Boxing Chen
What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation
Li Lin
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Yixin Cao
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Lifu Huang
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Shuang Li
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Xuming Hu
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Lijie Wen
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Jianmin Wang
A Dual-Expert Framework for Event Argument Extraction
Rui Li
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Wenlin Zhao
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Cheng Yang
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Sen Su
CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection
Jiawei Sheng
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Rui Sun
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Shu Guo
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Shiyao Cui
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Jiangxia Cao
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Lihong Wang
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Tingwen Liu
|
Hongbo Xu
Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation
Nicholas Lim
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Bryan Hooi
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See-Kiong Ng
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Yong Liang Goh
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Renrong Weng
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Rui Tan
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation
Song Yang
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Jiamou Liu
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Kaiqi Zhao
Learning Graph-based Disentangled Representations for Next POI Recommendation
Zhaobo Wang
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Yanmin Zhu
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Haobing Liu
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Chunyang Wang
ProFairRec: Provider Fairness-aware News Recommendation
Tao Qi
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Fangzhao Wu
|
Chuhan Wu
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Peijie Sun
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Le Wu
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Xiting Wang
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Yongfeng Huang
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Xing Xie
CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users
Haoran Xin
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Xinjiang Lu
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Nengjun Zhu
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Tong Xu
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Dejing Dou
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Hui Xiong
Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation
Shansan Gong
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Kenny Q. Zhu
A Non-Factoid Question-Answering Taxonomy
Valeria Bolotova
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Vladislav Blinov
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Falk Scholer
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W. Bruce Croft
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Mark Sanderson
QUASER: Question Answering with Scalable Extractive Rationalization
Asish Ghoshal
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Srinivasan Iyer
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Bhargavi Paranjape
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Kushal Lakhotia
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Scott Wen-tau Yih
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Yashar Mehdad
PTAU: Prompt Tuning for Attributing Unanswerable Questions
Jinzhi Liao
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Xiang Zhao
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Jianming Zheng
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Xinyi Li
|
Fei Cai
|
Jiuyang Tang
DGQAN: Dual Graph Question-Answer Attention Networks for Answer Selection
Haitian Yang
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Xuan Zhao
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Yan Wang
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Min Li
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Wei Chen
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Weiqing Huang
ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping
Mozhdeh Ariannezhad
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Sami Jullien
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Ming Li
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Min Fang
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Sebastian Schelter
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Maarten de Rijke
User-controllable Recommendation Against Filter Bubbles
Wenjie Wang
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Fuli Feng
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Liqiang Nie
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Tat-Seng Chua
Unify Local and Global Information for Top-N Recommendation
Xiaoming Liu
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Shaocong Wu
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Zhaohan Zhang
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Chao Shen
Less is More: Reweighting Important Spectral Graph Features for Recommendation
Shaowen Peng
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Kazunari Sugiyama
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Tsunenori Mine
A Review-aware Graph Contrastive Learning Framework for Recommendation
Jie Shuai
|
Kun Zhang
|
Le Wu
|
Peijie Sun
|
Richang Hong
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Meng Wang
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Yong Li
Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation
Junliang Yu
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Hongzhi Yin
|
Xin Xia
|
Tong Chen
|
Lizhen Cui
|
Quoc Viet Hung Nguyen
AutoLossGen: Automatic Loss Function Generation for Recommender Systems
Zelong Li
|
Jianchao Ji
|
Yingqiang Ge
|
Yongfeng Zhang
Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation
Xiaocong Chen
|
Lina Yao
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Julian J. McAuley
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Weili Guan
|
Xiaojun Chang
|
Xianzhi Wang
User-Aware Multi-Interest Learning for Candidate Matching in Recommenders
Zheng Chai
|
Zhihong Chen
|
Chenliang Li
|
Rong Xiao
|
Houyi Li
|
Jiawei Wu
|
Jingxu Chen
|
Haihong Tang
Multi-Level Interaction Reranking with User Behavior History
Yunjia Xi
|
Weiwen Liu
|
Jieming Zhu
|
Xilong Zhao
|
Xinyi Dai
|
Ruiming Tang
|
Weinan Zhang
|
Rui Zhang
|
Yong Yu
Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective
Xin Xin
|
Tiago Pimentel
|
Alexandros Karatzoglou
|
Pengjie Ren
|
Konstantina Christakopoulou
|
Zhaochun Ren
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
Ding Zou
|
Wei Wei
|
Xian-Ling Mao
|
Ziyang Wang
|
Minghui Qiu
|
Feida Zhu
|
Xin Cao
MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations
Xiangmeng Wang
|
Qian Li
|
Dianer Yu
|
Zhichao Wang
|
Hongxu Chen
|
Guandong Xu
Privacy-Preserving Synthetic Data Generation for Recommendation Systems
Fan Liu
|
Zhiyong Cheng
|
Huilin Chen
|
Yinwei Wei
|
Liqiang Nie
|
Mohan S. Kankanhalli
HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
Yuntao Du
|
Xinjun Zhu
|
Lu Chen
|
Baihua Zheng
|
Yunjun Gao
Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator
Shanlei Mu
|
Yaliang Li
|
Wayne Xin Zhao
|
Jingyuan Wang
|
Bolin Ding
|
Ji-Rong Wen
Self-Guided Learning to Denoise for Robust Recommendation
Yunjun Gao
|
Yuntao Du
|
Yujia Hu
|
Lu Chen
|
Xinjun Zhu
|
Ziquan Fang
|
Baihua Zheng
Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates
Renchu Guan
|
Haoyu Pang
|
Fausto Giunchiglia
|
Ximing Li
|
Xuefeng Yang
|
Xiaoyue Feng
Knowledge Graph Contrastive Learning for Recommendation
Yuhao Yang
|
Chao Huang
|
Lianghao Xia
|
Chenliang Li
CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos
Shengyao Zhuang
|
Guido Zuccon
Entity-aware Transformers for Entity Search
Emma J. Gerritse
|
Faegheh Hasibi
|
Arjen P. de Vries
BERT-ER: Query-specific BERT Entity Representations for Entity Ranking
Shubham Chatterjee
|
Laura Dietz
H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search
Xiaokai Chu
|
Jiashu Zhao
|
Lixin Zou
|
Dawei Yin
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking
Qian Dong
|
Yiding Liu
|
Suqi Cheng
|
Shuaiqiang Wang
|
Zhicong Cheng
|
Shuzi Niu
|
Dawei Yin
Webformer: Pre-training with Web Pages for Information Retrieval
Yu Guo
|
Zhengyi Ma
|
Jiaxin Mao
|
Hongjin Qian
|
Xinyu Zhang
|
Hao Jiang
|
Zhao Cao
|
Zhicheng Dou
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings
Shitao Xiao
|
Zheng Liu
|
Weihao Han
|
Jianjin Zhang
|
Defu Lian
|
Yeyun Gong
|
Qi Chen
|
Fan Yang
|
Hao Sun
|
Yingxia Shao
|
Xing Xie
Axiomatically Regularized Pre-training for Ad hoc Search
Jia Chen
|
Yiqun Liu
|
Yan Fang
|
Jiaxin Mao
|
Hui Fang
|
Shenghao Yang
|
Xiaohui Xie
|
Min Zhang
|
Shaoping Ma
Automatic Expert Selection for Multi-Scenario and Multi-Task Search
Xinyu Zou
|
Zhi Hu
|
Yiming Zhao
|
Xuchu Ding
|
Zhongyi Liu
|
Chenliang Li
|
Aixin Sun
Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities
Jiandian Zeng
|
Tianyi Liu
|
Jiantao Zhou
Mutual Disentanglement Learning for Joint Fine-Grained Sentiment Classification and Controllable Text Generation
Hao Fei
|
Chenliang Li
|
Donghong Ji
|
Fei Li
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification
Kai Zhang
|
Qi Liu
|
Zhenya Huang
|
Mingyue Cheng
|
Kun Zhang
|
Mengdi Zhang
|
Wei Wu
|
Enhong Chen
Aspect Feature Distillation and Enhancement Network for Aspect-based Sentiment Analysis
Rui Liu
|
Jiahao Cao
|
Nannan Sun
|
Lei Jiang
IAOTP: An Interactive End-to-End Solution for Aspect-Opinion Term Pairs Extraction
Ambreen Nazir
|
Yuan Rao
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
Xinyan Fan
|
Jianxun Lian
|
Wayne Xin Zhao
|
Zheng Liu
|
Chaozhuo Li
|
Xing Xie
Decoupled Side Information Fusion for Sequential Recommendation
Yueqi Xie
|
Peilin Zhou
|
Sunghun Kim
Multi-Agent RL-based Information Selection Model for Sequential Recommendation
Kaiyuan Li
|
Pengfei Wang
|
Chenliang Li
When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation
Yu Tian
|
Jianxin Chang
|
Yanan Niu
|
Yang Song
|
Chenliang Li
Multi-Behavior Sequential Transformer Recommender
Enming Yuan
|
Wei Guo
|
Zhicheng He
|
Huifeng Guo
|
Chengkai Liu
|
Ruiming Tang
Determinantal Point Process Likelihoods for Sequential Recommendation
Yuli Liu
|
Christian J. Walder
|
Lexing Xie
Thinking inside The Box: Learning Hypercube Representations for Group Recommendation
Tong Chen
|
Hongzhi Yin
|
Jing Long
|
Quoc Viet Hung Nguyen
|
Yang Wang
|
Meng Wang
An Attribute-Driven Mirror Graph Network for Session-based Recommendation
Siqi Lai
|
Erli Meng
|
Fan Zhang
|
Chenliang Li
|
Bin Wang
|
Aixin Sun
Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation
Xiaokun Zhang
|
Bo Xu
|
Liang Yang
|
Chenliang Li
|
Fenglong Ma
|
Haifeng Liu
|
Hongfei Lin
AutoGSR: Neural Architecture Search for Graph-based Session Recommendation
Jingfan Chen
|
Guanghui Zhu
|
Haojun Hou
|
Chunfeng Yuan
|
Yihua Huang
Multi-Faceted Global Item Relation Learning for Session-Based Recommendation
Qilong Han
|
Chi Zhang
|
Rui Chen
|
Riwei Lai
|
Hongtao Song
|
Li Li
Towards Suicide Ideation Detection Through Online Conversational Context
Ramit Sawhney
|
Shivam Agarwal
|
Atula Tejaswi Neerkaje
|
Nikolaos Aletras
|
Preslav Nakov
|
Lucie Flek
Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders
Jinning Li
|
Huajie Shao
|
Dachun Sun
|
Ruijie Wang
|
Yuchen Yan
|
Jinyang Li
|
Shengzhong Liu
|
Hanghang Tong
|
Tarek F. Abdelzaher
A Multitask Framework for Sentiment, Emotion and Sarcasm aware Cyberbullying Detection from Multi-modal Code-Mixed Memes
Krishanu Maity
|
Prince Jha
|
Sriparna Saha
|
Pushpak Bhattacharyya
Bias Mitigation for Toxicity Detection via Sequential Decisions
Lu Cheng
|
Ahmadreza Mosallanezhad
|
Yasin N. Silva
|
Deborah L. Hall
|
Huan Liu
A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning
Ruichao Yang
|
Jing Ma
|
Hongzhan Lin
|
Wei Gao
On the Role of Relevance in Natural Language Processing Tasks
Artsiom Sauchuk
|
James Thorne
|
Alon Y. Halevy
|
Nicola Tonellotto
|
Fabrizio Silvestri
Learning to Enrich Query Representation with Pseudo-Relevance Feedback for Cross-lingual Retrieval
Ramraj Chandradevan
|
Eugene Yang
|
Mahsa Yarmohammadi
|
Eugene Agichtein
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space
Yupeng Hou
|
Binbin Hu
|
Zhiqiang Zhang
|
Wayne Xin Zhao
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization
Mingyuan Cheng
|
Xinru Liao
|
Quan Liu
|
Bin Ma
|
Jian Xu
|
Bo Zheng
Multi-modal Graph Contrastive Learning for Micro-video Recommendation
Zixuan Yi
|
Xi Wang
|
Iadh Ounis
|
Craig MacDonald
RESETBERT4Rec: A Pre-training Model Integrating Time And User Historical Behavior for Sequential Recommendation
Qihang Zhao
Item-Provider Co-learning for Sequential Recommendation
Lei Chen
|
Jingtao Ding
|
Min Yang
|
Chengming Li
|
Chonggang Song
|
Lingling Yi
Re-weighting Negative Samples for Model-Agnostic Matching
Jiazhen Lou
|
Hong Wen
|
Fuyu Lv
|
Jing Zhang
|
Tengfei Yuan
|
Zhao Li
Towards Event-level Causal Relation Identification
Chuang Fan
|
Daoxing Liu
|
Libo Qin
|
Yue Zhang
|
Ruifeng Xu
Exploring Heterogeneous Data Lake based on Unified Canonical Graphs
Qin Yuan
|
Ye Yuan
|
Zhenyu Wen
|
He Wang
|
Chen Chen
|
Guoren Wang
Regulating Group Exposure for Item Providers in Recommendation
Mirko Marras
|
Ludovico Boratto
|
Guilherme Ramos
|
Gianni Fenu
L3E-HD: A Framework Enabling Efficient Ensemble in High-Dimensional Space for Language Tasks
Fangxin Liu
|
Haomin Li
|
Xiaokang Yang
|
Li Jiang
Neural Statistics for Click-Through Rate Prediction
Yanhua Huang
|
Hangyu Wang
|
Yiyun Miao
|
Ruiwen Xu
|
Lei Zhang
|
Weinan Zhang
Adversarial Graph Perturbations for Recommendations at Scale
Huiyuan Chen
|
Kaixiong Zhou
|
Kwei-Herng Lai
|
Xia Hu
|
Fei Wang
|
Hao Yang
Graph Capsule Network with a Dual Adaptive Mechanism
Xiangping Zheng
|
Xun Liang
|
Bo Wu
|
Yuhui Guo
|
Xuan Zhang
Constrained Sequence-to-Tree Generation for Hierarchical Text Classification
Chao Yu
|
Yi Shen
|
Yue Mao
Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification
Jyun-Yu Jiang
|
Wei-Cheng Chang
|
Jiong Zhang
|
Cho-Jui Hsieh
|
Hsiang-Fu Yu
Training Entire-Space Models for Target-oriented Opinion Words Extraction
Yuncong Li
|
Fang Wang
|
Sheng-Hua Zhong
Zero-shot Query Contextualization for Conversational Search
Antonios Minas Krasakis
|
Andrew Yates
|
Evangelos Kanoulas
EFLEC: Efficient Feature-LEakage Correction in GNN based Recommendation Systems
Ishaan Kumar
|
Yaochen Hu
|
Yingxue Zhang
Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR Prediction
Xiaoxiao Xu
|
Zhiwei Fang
|
Qian Yu
|
Ruoran Huang
|
Chaosheng Fan
|
Yong Li
|
Yang He
|
Changping Peng
|
Zhangang Lin
|
Jingping Shao
|
Non Non
Enhancing Top-N Item Recommendations by Peer Collaboration
Yang Sun
|
Fajie Yuan
|
Min Yang
|
Alexandros Karatzoglou
|
Li Shen
|
Xiaoyan Zhao
Faster Learned Sparse Retrieval with Guided Traversal
Antonio Mallia
|
Joel Mackenzie
|
Torsten Suel
|
Nicola Tonellotto
Animating Images to Transfer CLIP for Video-Text Retrieval
Yu Liu
|
Huai Chen
|
Lianghua Huang
|
Di Chen
|
Bin Wang
|
Pan Pan
|
Lisheng Wang
IPR: Interaction-level Preference Ranking for Explicit feedback
Shih-Yang Liu
|
Hsien-Hao Chen
|
Chih-Ming Chen
|
Ming-Feng Tsai
|
Chuan-Ju Wang
News Recommendation with Candidate-aware User Modeling
Tao Qi
|
Fangzhao Wu
|
Chuhan Wu
|
Yongfeng Huang
PERD: Personalized Emoji Recommendation with Dynamic User Preference
Xuanzhi Zheng
|
Guoshuai Zhao
|
Li Zhu
|
Xueming Qian
Socially-aware Dual Contrastive Learning for Cold-Start Recommendation
Jing Du
|
Zesheng Ye
|
Lina Yao
|
Bin Guo
|
Zhiwen Yu
Hierarchical Task-aware Multi-Head Attention Network
Jing Du
|
Lina Yao
|
Xianzhi Wang
|
Bin Guo
|
Zhiwen Yu
Image-Text Retrieval via Contrastive Learning with Auxiliary Generative Features and Support-set Regularization
Lei Zhang
|
Min Yang
|
Chengming Li
|
Ruifeng Xu
Enhancing Event-Level Sentiment Analysis with Structured Arguments
Qi Zhang
|
Jie Zhou
|
Qin Chen
|
Qingchun Bai
|
Liang He
Denoising Time Cycle Modeling for Recommendation
Sicong Xie
|
Qunwei Li
|
Weidi Xu
|
Kaiming Shen
|
Shaohu Chen
|
Wenliang Zhong
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning
Xiaomeng Hu
|
Shi Yu
|
Chenyan Xiong
|
Zhenghao Liu
|
Zhiyuan Liu
|
Ge Yu
Towards Results-level Proportionality for Multi-objective Recommender Systems
Ladislav Peska
|
Patrik Dokoupil
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction
Xiaochen Li
|
Jian Liang
|
Xialong Liu
|
Yu Zhang
FUM: Fine-grained and Fast User Modeling for News Recommendation
Tao Qi
|
Fangzhao Wu
|
Chuhan Wu
|
Yongfeng Huang
Curriculum Learning for Dense Retrieval Distillation
Hansi Zeng
|
Hamed Zamani
|
Vishwa Vinay
Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering
Chenglong Ma
|
Yongli Ren
|
Pablo Castells
|
Mark Sanderson
Detecting Frozen Phrases in Open-Domain Question Answering
Mostafa Yadegari
|
Ehsan Kamalloo
|
Davood Rafiei
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation
Yinfeng Li
|
Chen Gao
|
Hengliang Luo
|
Depeng Jin
|
Yong Li
Point Prompt Tuning for Temporally Language Grounding
Yawen Zeng
Value Penalized Q-Learning for Recommender Systems
Chengqian Gao
|
Ke Xu
|
Kuangqi Zhou
|
Lanqing Li
|
Xueqian Wang
|
Bo Yuan
|
Peilin Zhao
Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation
Pengyang Li
|
Rong Chen
|
Quan Liu
|
Jian Xu
|
Bo Zheng
Understanding User Satisfaction with Task-oriented Dialogue Systems
Clemencia Siro
|
Mohammad Aliannejadi
|
Maarten de Rijke
Distilling Knowledge on Text Graph for Social Media Attribute Inference
Quan Li
|
Xiaoting Li
|
Lingwei Chen
|
Dinghao Wu
Progressive Self-Attention Network with Unsymmetrical Positional Encoding for Sequential Recommendation
Yuehua Zhu
|
Bo Huang
|
Shaohua Jiang
|
Muli Yang
|
Yanhua Yang
|
Wenliang Zhong
Empowering Next POI Recommendation with Multi-Relational Modeling
Zheng Huang
|
Jing Ma
|
Yushun Dong
|
Natasha Zhang Foutz
|
Jundong Li
What Makes a Good Podcast Summary?
Rezvaneh Rezapour
|
Sravana Reddy
|
Rosie Jones
|
Ian Soboroff
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism
Han Liu
|
Siyang Zhao
|
Xiaotong Zhang
|
Feng Zhang
|
Junjie Sun
|
Hong Yu
|
Xianchao Zhang
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction
Bisheng Li
|
Min Zhou
|
Shengzhong Zhang
|
Menglin Yang
|
Defu Lian
|
Zengfeng Huang
Analyzing the Support Level for Tips Extracted from Product Reviews
Miriam Farber
|
David Carmel
|
Lital Kuchy
|
Avihai Mejer
Why do Semantically Unrelated Categories Appear in the Same Session?: A Demand-aware Method
Liqi Yang
|
Linhao Luo
|
Xiaofeng Zhang
|
Fengxin Li
|
Xinni Zhang
|
Zelin Jiang
|
Shuai Tang
Enhancing Zero-Shot Stance Detection via Targeted Background Knowledge
Qinglin Zhu
|
Bin Liang
|
Jingyi Sun
|
Jiachen Du
|
Lanjun Zhou
|
Ruifeng Xu
Translation-Based Implicit Annotation Projection for Zero-Shot Cross-Lingual Event Argument Extraction
Chenwei Lou
|
Jun Gao
|
Changlong Yu
|
Wei Wang
|
Huan Zhao
|
Weiwei Tu
|
Ruifeng Xu
Coarse-to-Fine Sparse Sequential Recommendation
Jiacheng Li
|
Tong Zhao
|
Jin Li
|
Jim Chan
|
Christos Faloutsos
|
George Karypis
|
Soo-Min Pantel
|
Julian J. McAuley
UserBERT: Pre-training User Model with Contrastive Self-supervision
Chuhan Wu
|
Fangzhao Wu
|
Tao Qi
|
Yongfeng Huang
Understanding Long Programming Languages with Structure-Aware Sparse Attention
Tingting Liu
|
Chengyu Wang
|
Cen Chen
|
Ming Gao
|
Aoying Zhou
Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search
Dake Zhang
|
Amir Vakili Tahami
|
Mustafa Abualsaud
|
Mark D. Smucker
MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning
Menghan Wang
|
Yuchen Guo
|
Zhenqi Zhao
|
Guangzheng Hu
|
Yuming Shen
|
Mingming Gong
|
Philip H. S. Torr
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios
Xiaofeng Pan
|
Ming Li
|
Jing Zhang
|
Keren Yu
|
Hong Wen
|
Luping Wang
|
Chengjun Mao
|
Bo Cao
A Multi-Task Based Neural Model to Simulate Users in Goal Oriented Dialogue Systems
To Eun Kim
|
Aldo Lipani
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection
Yongchun Zhu
|
Qiang Sheng
|
Juan Cao
|
Shuokai Li
|
Danding Wang
|
Fuzhen Zhuang
Dialogue Topic Segmentation via Parallel Extraction Network with Neighbor Smoothing
Jinxiong Xia
|
Cao Liu
|
Jiansong Chen
|
Yuchen Li
|
Fan Yang
|
Xunliang Cai
|
Guanglu Wan
|
Houfeng Wang
Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings
Georgios Sidiropoulos
|
Evangelos Kanoulas
From Cluster Ranking to Document Ranking
Egor Markovskiy
|
Fiana Raiber
|
Shoham Sabach
|
Oren Kurland
Unlearning Protected User Attributes in Recommendations with Adversarial Training
Christian Ganhör
|
David Penz
|
Navid Rekabsaz
|
Oleg Lesota
|
Markus Schedl
A 'Pointwise-Query, Listwise-Document' based Query Performance Prediction Approach
Suchana Datta
|
Sean MacAvaney
|
Debasis Ganguly
|
Derek Greene
How Does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval
Hang Li
|
Ahmed Mourad
|
Bevan Koopman
|
Guido Zuccon
Improving Contrastive Learning of Sentence Embeddings with Case-Augmented Positives and Retrieved Negatives
Wei Wang
|
Liangzhu Ge
|
Jingqiao Zhang
|
Cheng Yang
Expression Syntax Information Bottleneck for Math Word Problems
Jing Xiong
|
Chengming Li
|
Min Yang
|
Xiping Hu
|
Bin Hu
Masking and Generation: An Unsupervised Method for Sarcasm Detection
Rui Wang
|
Qianlong Wang
|
Bin Liang
|
Yi Chen
|
Zhiyuan Wen
|
Bing Qin
|
Ruifeng Xu
Cross-Probe BERT for Fast Cross-Modal Search
Tan Yu
|
Hongliang Fei
|
Ping Li
GERE: Generative Evidence Retrieval for Fact Verification
Jiangui Chen
|
Ruqing Zhang
|
Jiafeng Guo
|
Yixing Fan
|
Xueqi Cheng
DH-HGCN: Dual Homogeneity Hypergraph Convolutional Network for Multiple Social Recommendations
Jiadi Han
|
Qian Tao
|
Yufei Tang
|
Yuhan Xia
Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction
Yuren Zhang
|
Enhong Chen
|
Binbin Jin
|
Hao Wang
|
Min Hou
|
Wei Huang
|
Runlong Yu
Conversational Recommendation via Hierarchical Information Modeling
Quan Tu
|
Shen Gao
|
Yanran Li
|
Jianwei Cui
|
Bin Wang
|
Rui Yan
Relation-Guided Few-Shot Relational Triple Extraction
Xin Cong
|
Jiawei Sheng
|
Shiyao Cui
|
Bowen Yu
|
Tingwen Liu
|
Bin Wang
On Survivorship Bias in MS MARCO
Prashansa Gupta
|
Sean MacAvaney
An Efficiency Study for SPLADE Models
Carlos Lassance
|
Stéphane Clinchant
Tensor-based Graph Modularity for Text Data Clustering
Rafika Boutalbi
|
Mira Ait Saada
|
Anastasiia Iurshina
|
Steffen Staab
|
Mohamed Nadif
Learned Token Pruning in Contextualized Late Interaction over BERT (ColBERT)
Carlos Lassance
|
Maroua Maachou
|
Joohee Park
|
Stéphane Clinchant
AHP: Learning to Negative Sample for Hyperedge Prediction
Hyunjin Hwang
|
Seungwoo Lee
|
Chanyoung Park
|
Kijung Shin
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment
Junseok Lee
|
Yunhak Oh
|
Yeonjun In
|
Namkyeong Lee
|
Dongmin Hyun
|
Chanyoung Park
Item Similarity Mining for Multi-Market Recommendation
Jiangxia Cao
|
Xin Cong
|
Tingwen Liu
|
Bin Wang
ILMART: Interpretable Ranking with Constrained LambdaMART
Claudio Lucchese
|
Franco Maria Nardini
|
Salvatore Orlando
|
Raffaele Perego
|
Alberto Veneri
Modern Baselines for SPARQL Semantic Parsing
Debayan Banerjee
|
Pranav Ajit Nair
|
Jivat Neet Kaur
|
Ricardo Usbeck
|
Chris Biemann
Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation with Minimal Computational Complexity
Harrie Oosterhuis
CTnoCVR: A Novelty Auxiliary Task Making the Lower-CTR-Higher-CVR Upper
Dandan Zhang
|
Haotian Wu
|
Guanqi Zeng
|
Yao Yang
|
Weijiang Qiu
|
Yujie Chen
|
Haoyuan Hu
Deep Multi-Representational Item Network for CTR Prediction
Jihai Zhang
|
Fangquan Lin
|
Cheng Yang
|
Wei Wang
A New Sequential Prediction Framework with Spatial-temporal Embedding
Jihai Zhang
|
Fangquan Lin
|
Cheng Yang
|
Wei Jiang
Rethinking Correlation-based Item-Item Similarities for Recommender Systems
Katsuhiko Hayashi
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation
Guogang Liao
|
Xiaowen Shi
|
Ze Wang
|
Xiaoxu Wu
|
Chuheng Zhang
|
Yongkang Wang
|
Xingxing Wang
|
Dong Wang
GraphAD: A Graph Neural Network for Entity-Wise Multivariate Time-Series Anomaly Detection
Xu Chen
|
Qiu Qiu
|
Changshan Li
|
Kunqing Xie
On Optimizing Top-K Metrics for Neural Ranking Models
Rolf Jagerman
|
Zhen Qin
|
Xuanhui Wang
|
Michael Bendersky
|
Marc Najork
Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention
Junfei Wu
|
Qiang Liu
|
Weizhi Xu
|
Shu Wu
DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction
Yifan Wang
|
Yifang Qin
|
Fang Sun
|
Bo Zhang
|
Xuyang Hou
|
Ke Hu
|
Jia Cheng
|
Jun Lei
|
Ming Zhang
Improving Conversational Recommender Systems via Transformer-based Sequential Modelling
Jie Zou
|
Evangelos Kanoulas
|
Pengjie Ren
|
Zhaochun Ren
|
Aixin Sun
|
Cheng Long
Neural Query Synthesis and Domain-Specific Ranking Templates for Multi-Stage Clinical Trial Matching
Ronak Pradeep
|
Yilin Li
|
Yuetong Wang
|
Jimmy Lin
On Extractive Summarization for Profile-centric Neural Expert Search in Academia
Rennan C. Lima
|
Rodrygo L. T. Santos
Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling
Xin Chen
|
Qingtao Tang
|
Ke Hu
|
Yue Xu
|
Shihang Qiu
|
Jia Cheng
|
Jun Lei
Joint Optimization of Ad Ranking and Creative Selection
Kaiyi Lin
|
Xiang Zhang
|
Feng Li
|
Pengjie Wang
|
Qingqing Long
|
Hongbo Deng
|
Jian Xu
|
Bo Zheng
BERT-based Dense Intra-ranking and Contextualized Late Interaction via Multi-task Learning for Long Document Retrieval
Minghan Li
|
Éric Gaussier
From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective
Thibault Formal
|
Carlos Lassance
|
Benjamin Piwowarski
|
Stéphane Clinchant
Which Discriminator for Cooperative Text Generation?
Antoine Chaffin
|
Thomas Scialom
|
Sylvain Lamprier
|
Jacopo Staiano
|
Benjamin Piwowarski
|
Ewa Kijak
|
Vincent Claveau
When Online Meets Offline: Exploring Periodicity for Travel Destination Prediction
Wanjie Tao
|
Liangyue Li
|
Chen Chen
|
Zulong Chen
|
Hong Wen
Long Document Re-ranking with Modular Re-ranker
Luyu Gao
|
Jamie Callan
Improving Micro-video Recommendation via Contrastive Multiple Interests
Beibei Li
|
Beihong Jin
|
Jiageng Song
|
Yisong Yu
|
Yiyuan Zheng
|
Wei Zhou
Is News Recommendation a Sequential Recommendation Task?
Chuhan Wu
|
Fangzhao Wu
|
Tao Qi
|
Chenliang Li
|
Yongfeng Huang
InPars: Unsupervised Dataset Generation for Information Retrieval
Luiz Henrique Bonifacio
|
Hugo Abonizio
|
Marzieh Fadaee
|
Rodrigo Frassetto Nogueira
Identifying Argumentative Questions in Web Search Logs
Yamen Ajjour
|
Pavel Braslavski
|
Alexander Bondarenko
|
Benno Stein
Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction
Shuang Tang
|
Fangyuan Luo
|
Jun Wu
Diversity Vs Relevance: A Practical Multi-objective Study in Luxury Fashion Recommendations
João Sá
|
Vanessa Queiroz Marinho
|
Ana Rita Magalhães
|
Tiago Lacerda
|
Diogo Gonçalves
Revisiting Two-tower Models for Unbiased Learning to Rank
Le Yan
|
Zhen Qin
|
Honglei Zhuang
|
Xuanhui Wang
|
Michael Bendersky
|
Marc Najork
Answering Count Queries with Explanatory Evidence
Shrestha Ghosh
|
Simon Razniewski
|
Gerhard Weikum
Interactive Query Clarification and Refinement via User Simulation
Pierre Erbacher
|
Ludovic Denoyer
|
Laure Soulier
Summarizing Legal Regulatory Documents using Transformers
Svea Klaus
|
Ria Van Hecke
|
Kaweh Djafari Naini
|
Ismail Sengor Altingovde
|
Juan Bernabé-Moreno
|
Enrique Herrera-Viedma
An MLP-based Algorithm for Efficient Contrastive Graph Recommendations
Siwei Liu
|
Iadh Ounis
|
Craig Macdonald
Modeling User Behavior With Interaction Networks for Spam Detection
Prabhat Agarwal
|
Manisha Srivastava
|
Vishwakarma Singh
|
Charles Rosenberg
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning
Xiang Chen
|
Lei Li
|
Ningyu Zhang
|
Chuanqi Tan
|
Fei Huang
|
Luo Si
|
Huajun Chen
End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation
Yue Zhang
|
Hongliang Fei
|
Ping Li
DeSCoVeR: Debiased Semantic Context Prior for Venue Recommendation
Sailaja Rajanala
|
Arghya Pal
|
Manish Singh
|
Raphael C.-W. Phan
|
KokSheik Wong
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval
Revanth Gangi Reddy
|
Md. Arafat Sultan
|
Martin Franz
|
Avirup Sil
|
Heng Ji
Assessing Scientific Research Papers with Knowledge Graphs
Kexuan Sun
|
Zhiqiang Qiu
|
Abel Salinas
|
Yuzhong Huang
|
Dong-Ho Lee
|
Daniel Benjamin
|
Fred Morstatter
|
Xiang Ren
|
Kristina Lerman
|
Jay Pujara
Matching Search Result Diversity with User Diversity Acceptance in Web Search Sessions
Jiqun Liu
|
Fangyuan Han
Topological Analysis of Contradictions in Text
Xiangcheng Wu
|
Xi Niu
|
Ruhani Rahman
Addressing Gender-related Performance Disparities in Neural Rankers
Shirin Seyedsalehi
|
Amin Bigdeli
|
Negar Arabzadeh
|
Morteza Zihayat
|
Ebrahim Bagheri
Alignment Rationale for Query-Document Relevance
Youngwoo Kim
|
Razieh Rahimi
|
James Allan
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers
Hang Li
|
Shuai Wang
|
Shengyao Zhuang
|
Ahmed Mourad
|
Xueguang Ma
|
Jimmy Lin
|
Guido Zuccon
A Content Recommendation Policy for Gaining Subscribers
Konstantinos Theocharidis
|
Manolis Terrovitis
|
Spiros Skiadopoulos
|
Panagiotis Karras
C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval
Eugene Yang
|
Suraj Nair
|
Ramraj Chandradevan
|
Rebecca Iglesias-Flores
|
Douglas W. Oard
Dual Pseudo Supervision for Semi-Supervised Text Classification with a Reliable Teacher
Shujie Li
|
Min Yang
|
Chengming Li
|
Ruifeng Xu
Learning to Rank Knowledge Subgraph Nodes for Entity Retrieval
Parastoo Jafarzadeh
|
Zahra Amirmahani
|
Faezeh Ensan
Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems
Zhaolin Gao
|
Tianshu Shen
|
Zheda Mai
|
Mohamed Reda Bouadjenek
|
Isaac Waller
|
Ashton Anderson
|
Ron Bodkin
|
Scott Sanner
Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization
George Zerveas
|
Navid Rekabsaz
|
Daniel Cohen
|
Carsten Eickhoff
A Meta-learning Approach to Fair Ranking
Yuan Wang
|
Zhiqiang Tao
|
Yi Fang
Can Users Predict Relative Query Effectiveness?
Oleg Zendel
|
Melika P. Ebrahim
|
J. Shane Culpepper
|
Alistair Moffat
|
Falk Scholer
ELECRec: Training Sequential Recommenders as Discriminators
Yongjun Chen
|
Jia Li
|
Caiming Xiong
Explainable Session-based Recommendation with Meta-path Guided Instances and Self-Attention Mechanism
Jiayin Zheng
|
Juanyun Mai
|
Yanlong Wen
MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation
Chuhan Wu
|
Fangzhao Wu
|
Tao Qi
|
Chao Zhang
|
Yongfeng Huang
|
Tong Xu
Generative Adversarial Framework for Cold-Start Item Recommendation
Hao Chen
|
Zefan Wang
|
Feiran Huang
|
Xiao Huang
|
Yue Xu
|
Yishi Lin
|
Peng He
|
Zhoujun Li
Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences
Daniel Cohen
|
Kevin Du
|
Bhaskar Mitra
|
Laura Mercurio
|
Navid Rekabsaz
|
Carsten Eickhoff
Modality-Balanced Embedding for Video Retrieval
Xun Wang
|
Bingqing Ke
|
Xuanping Li
|
Fangyu Liu
|
Mingyu Zhang
|
Xiao Liang
|
Qiushi Xiao
An Efficient Fusion Mechanism for Multimodal Low-resource Setting
Dushyant Singh Chauhan
|
Asif Ekbal
|
Pushpak Bhattacharyya
QSG Transformer: Transformer with Query-Attentive Semantic Graph for Query-Focused Summarization
Choongwon Park
|
Youngjoong Ko
Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder
Xu Zhao
|
Yi Ren
|
Ying Du
|
Shenzheng Zhang
|
Nian Wang
PST: Measuring Skill Proficiency in Programming Exercise Process via Programming Skill Tracing
Ruixin Li
|
Yu Yin
|
Le Dai
|
Shuanghong Shen
|
Xin Lin
|
Yu Su
|
Enhong Chen
Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems
Hojoon Lee
|
Dongyoon Hwang
|
Kyushik Min
|
Jaegul Choo
Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network
Yanjun Qin
|
Yuchen Fang
|
Haiyong Luo
|
Fang Zhao
|
Chenxing Wang
MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization
Qianren Mao
|
Hongdong Zhu
|
Junnan Liu
|
Cheng Ji
|
Hao Peng
|
Jianxin Li
|
Lihong Wang
|
Zheng Wang
Neutralizing Popularity Bias in Recommendation Models
Guipeng Xv
|
Chen Lin
|
Hui Li
|
Jinsong Su
|
Weiyao Ye
|
Yewang Chen
Lightweight Meta-Learning for Low-Resource Abstractive Summarization
Taehun Huh
|
Youngjoong Ko
Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding
Penghui Wei
|
Shaoguo Liu
|
Xuanhua Yang
|
Liang Wang
|
Bo Zheng
Exploiting Session Information in BERT-based Session-aware Sequential Recommendation
Jinseok Jamie Seol
|
Youngrok Ko
|
Sang-goo Lee
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising
Penghui Wei
|
Weimin Zhang
|
Ruijie Hou
|
Jinquan Liu
|
Shaoguo Liu
|
Liang Wang
|
Bo Zheng
Towards Motivational and Empathetic Response Generation in Online Mental Health Support
Tulika Saha
|
Vaibhav Gakhreja
|
Anindya Sundar Das
|
Souhitya Chakraborty
|
Sriparna Saha
Selective Fairness in Recommendation via Prompts
Yiqing Wu
|
Ruobing Xie
|
Yongchun Zhu
|
Fuzhen Zhuang
|
Xiang Ao
|
Xu Zhang
|
Leyu Lin
|
Qing He
Multi-label Masked Language Modeling on Zero-shot Code-switched Sentiment Analysis
Zhi Li
|
Xing Gao
|
Ji Zhang
|
Yin Zhang
Expanded Lattice Embeddings for Spoken Document Retrieval on Informal Meetings
Esaú Villatoro-Tello
|
Srikanth R. Madikeri
|
Petr Motlícek
|
Aravind Ganapathiraju
|
Alexei V. Ivanov
Extractive Elementary Discourse Units for Improving Abstractive Summarization
Ye Xiong
|
Teeradaj Racharak
|
Minh Le Nguyen
LightSGCN: Powering Signed Graph Convolution Network for Link Sign Prediction with Simplified Architecture Design
Haoxin Liu
Dual Contrastive Network for Sequential Recommendation
Guanyu Lin
|
Chen Gao
|
Yinfeng Li
|
Yu Zheng
|
Zhiheng Li
|
Depeng Jin
|
Yong Li
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems
Guohao Cai
|
Jieming Zhu
|
Quanyu Dai
|
Zhenhua Dong
|
Xiuqiang He
|
Ruiming Tang
|
Rui Zhang
Task-Oriented Dialogue System as Natural Language Generation
Weizhi Wang
|
Zhirui Zhang
|
Junliang Guo
|
Yinpei Dai
|
Boxing Chen
|
Weihua Luo
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction
Likang Wu
|
Hao Wang
|
Enhong Chen
|
Zhi Li
|
Hongke Zhao
|
Jianhui Ma
Constructing Better Evaluation Metrics by Incorporating the Anchoring Effect into the User Model
Nuo Chen
|
Fan Zhang
|
Tetsuya Sakai
Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval
Jun Rao
|
Fei Wang
|
Liang Ding
|
Shuhan Qi
|
Yibing Zhan
|
Weifeng Liu
|
Dacheng Tao
State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study
Jin Huang
|
Harrie Oosterhuis
|
Bunyamin Cetinkaya
|
Thijs Rood
|
Maarten de Rijke
Another Look at Information Retrieval as Statistical Translation
Yuqi Liu
|
Chengcheng Hu
|
Jimmy Lin
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems
Hossein A. Rahmani
|
Mohammadmehdi Naghiaei
|
Mahdi Dehghan
|
Mohammad Aliannejadi
Users and Contemporary SERPs: A (Re-)Investigation
Nirmal Roy
|
David Maxwell
|
Claudia Hauff
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network
Tianyu Zhao
|
Cheng Yang
|
Yibo Li
|
Quan Gan
|
Zhenyi Wang
|
Fengqi Liang
|
Huan Zhao
|
Yingxia Shao
|
Xiao Wang
|
Chuan Shi
An Inspection of the Reproducibility and Replicability of TCT-ColBERT
Xiao Wang
|
Sean MacAvaney
|
Craig Macdonald
|
Iadh Ounis
Is Non-IID Data a Threat in Federated Online Learning to Rank?
Shuyi Wang
|
Guido Zuccon
Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers
Maurizio Ferrari Dacrema
|
Fabio Moroni
|
Riccardo Nembrini
|
Nicola Ferro
|
Guglielmo Faggioli
|
Paolo Cremonesi
Reduce, Reuse, Recycle: Green Information Retrieval Research
Harrisen Scells
|
Shengyao Zhuang
|
Guido Zuccon
Competitive Search
Oren Kurland
|
Moshe Tennenholtz
Where Do Queries Come From?
Marwah Alaofi
|
Luke Gallagher
|
Dana McKay
|
Lauren L. Saling
|
Mark Sanderson
|
Falk Scholer
|
Damiano Spina
|
Ryen W. White
On Natural Language User Profiles for Transparent and Scrutable Recommendation
Filip Radlinski
|
Krisztian Balog
|
Fernando Diaz
|
Lucas Dixon
|
Ben Wedin
Retrieval-Enhanced Machine Learning
Hamed Zamani
|
Fernando Diaz
|
Mostafa Dehghani
|
Donald Metzler
|
Michael Bendersky
MET-Meme: A Multimodal Meme Dataset Rich in Metaphors
Bo Xu
|
Tingting Li
|
Junzhe Zheng
|
Mehdi Naseriparsa
|
Zhehuan Zhao
|
Hongfei Lin
|
Feng Xia
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling
Zhu Sun
|
Jie Yang
|
Kaidong Feng
|
Hui Fang
|
Xinghua Qu
|
Yew Soon Ong
BARS: Towards Open Benchmarking for Recommender Systems
Jieming Zhu
|
Quanyu Dai
|
Liangcai Su
|
Rong Ma
|
Jinyang Liu
|
Guohao Cai
|
Xi Xiao
|
Rui Zhang
OVQA: A Clinically Generated Visual Question Answering Dataset
Yefan Huang
|
Xiaoli Wang
|
Feiyan Liu
|
Guofeng Huang
Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards
Jimmy Lin
|
Daniel Campos
|
Nick Craswell
|
Bhaskar Mitra
|
Emine Yilmaz
Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims
Ivan Srba
|
Branislav Pecher
|
Matús Tomlein
|
Róbert Móro
|
Elena Stefancova
|
Jakub Simko
|
Mária Bieliková
A Dataset for Sentence Retrieval for Open-Ended Dialogues
Itay Harel
|
Hagai Taitelbaum
|
Idan Szpektor
|
Oren Kurland
Too Many Relevants: Whither Cranfield Test Collections?
Ellen M. Voorhees
|
Nick Craswell
|
Jimmy Lin
ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval
Tengteng Lin
|
Qiaosheng Chen
|
Gong Cheng
|
Ahmet Soylu
|
Basil Ell
|
Ruoqi Zhao
|
Qing Shi
|
Xiaxia Wang
|
Yu Gu
|
Evgeny Kharlamov
RELISON: A Framework for Link Recommendation in Social Networks
Javier Sanz-Cruzado
|
Pablo Castells
Wikimarks: Harvesting Relevance Benchmarks from Wikipedia
Laura Dietz
|
Shubham Chatterjee
|
Connor Lennox
|
Sumanta Kashyapi
|
Pooja Oza
|
Ben Gamari
ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues
Guojun Yan
|
Jiahuan Pei
|
Pengjie Ren
|
Zhaochun Ren
|
Xin Xin
|
Huasheng Liang
|
Maarten de Rijke
|
Zhumin Chen
ArchivalQA: A Large-scale Benchmark Dataset for Open-Domain Question Answering over Historical News Collections
Jiexin Wang
|
Adam Jatowt
|
Masatoshi Yoshikawa
SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data
Hoang H. Nguyen
|
Dmytro Bozhkov
|
Zahra Ahmadi
|
Nhat-Minh Nguyen
|
Thanh-Nam Doan
Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval
Dingkun Long
|
Qiong Gao
|
Kuan Zou
|
Guangwei Xu
|
Pengjun Xie
|
Ruijie Guo
|
Jian Xu
|
Guanjun Jiang
|
Luxi Xing
|
Ping Yang
ORCAS-I: Queries Annotated with Intent using Weak Supervision
Daria Alexander
|
Wojciech Kusa
|
Arjen P. de Vries
CODEC: Complex Document and Entity Collection
Iain Mackie
|
Paul Owoicho
|
Carlos Gemmell
|
Sophie Fischer
|
Sean MacAvaney
|
Jeffrey Dalton
ir_metadata: An Extensible Metadata Schema for IR Experiments
Timo Breuer
|
Jüri Keller
|
Philipp Schaer
Would You Ask it that Way?: Measuring and Improving Question Naturalness for Knowledge Graph Question Answering
Trond Linjordet
|
Krisztian Balog
The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation
Domenico Dato
|
Sean MacAvaney
|
Franco Maria Nardini
|
Raffaele Perego
|
Nicola Tonellotto
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities
Paul Lerner
|
Olivier Ferret
|
Camille Guinaudeau
|
Hervé Le Borgne
|
Romaric Besançon
|
José G. Moreno
|
Jesús Lovón-Melgarejo
Biographical Semi-Supervised Relation Extraction Dataset
Alistair Plum
|
Tharindu Ranasinghe
|
Spencer Jones
|
Constantin Orasan
|
Ruslan Mitkov
Axiomatic Retrieval Experimentation with ir_axioms
Alexander Bondarenko
|
Maik Fröbe
|
Jan Heinrich Reimer
|
Benno Stein
|
Michael Völske
|
Matthias Hagen
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset
Dan Saattrup Nielsen
|
Ryan McConville
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines
Soham Poddar
|
Azlaan Mustafa Samad
|
Rajdeep Mukherjee
|
Niloy Ganguly
|
Saptarshi Ghosh
iRec: An Interactive Recommendation Framework
Thiago Silva
|
Nícollas Silva
|
Heitor Werneck
|
Carlos Mito
|
Adriano C. M. Pereira
|
Leonardo Rocha
From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search
Shuai Wang
|
Harrisen Scells
|
Justin Clark
|
Bevan Koopman
|
Guido Zuccon
Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2
Xueguang Ma
|
Ronak Pradeep
|
Rodrigo Frassetto Nogueira
|
Jimmy Lin
MIMICS-Duo: Offline & Online Evaluation of Search Clarification
Leila Tavakoli
|
Johanne R. Trippas
|
Hamed Zamani
|
Falk Scholer
|
Mark Sanderson
Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?
Longquan Jiang
|
Ricardo Usbeck
SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals
Zijian Zhang
|
Vinay Setty
|
Avishek Anand
RecDelta: An Interactive Dashboard on Top-k Recommendation for Cross-model Evaluation
Yi-Shyuan Chiang
|
Yu-Ze Liu
|
Chen-Feng Tsai
|
Jing-Kai Lou
|
Ming-Feng Tsai
|
Chuan-Ju Wang
A Common Framework for Exploring Document-at-a-Time and Score-at-a-Time Retrieval Methods
Andrew Trotman
|
Joel Mackenzie
|
Pradeesh Parameswaran
|
Jimmy Lin
Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints During Training
Shengyao Zhuang
|
Guido Zuccon
TaskMAD: A Platform for Multimodal Task-Centric Knowledge-Grounded Conversational Experimentation
Alessandro Speggiorin
|
Jeffrey Dalton
|
Anton Leuski
Golden Retriever: A Real-Time Multi-Modal Text-Image Retrieval System with the Ability to Focus
Florian Schneider
|
Chris Biemann
BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain
Viju Sudhi
|
Sabine Wehnert
|
Norbert Michael Homner
|
Sebastian Ernst
|
Mark Gonter
|
Andreas Krug
|
Ernesto William De Luca
TARexp: A Python Framework for Technology-Assisted Review Experiments
Eugene Yang
|
David D. Lewis
ZeroMatcher: A Cost-Off Entity Matching System
Congcong Ge
|
Xiaocan Zeng
|
Lu Chen
|
Yunjun Gao
Table Enrichment System for Machine Learning
Yuyang Dong
|
Masafumi Oyamada
QFinder: A Framework for Quantity-centric Ranking
Satya Almasian
|
Milena Bruseva
|
Michael Gertz
ROGUE: A System for Exploratory Search of GANs
Yang Liu
|
Alan Medlar
|
Dorota Glowacka
CHERCHE: A New Tool to Rapidly Implement Pipelines in Information Retrieval
Raphaël Sourty
|
José G. Moreno
|
Lynda Tamine
|
François-Paul Servant
Online DATEing: A Web Interface for Temporal Annotations
Dennis Aumiller
|
Satya Almasian
|
David Pohl
|
Michael Gertz
Are Taylor's Posts Risky? Evaluating Cumulative Revelations in Online Personal Data: A persona-based tool for evaluating awareness of online risks and harms
Leif Azzopardi
|
Jo Briggs
|
Melissa Duheric
|
Callum Nash
|
Emma Nicol
|
Wendy Moncur
|
Burkhard Schafer
LawNet-Viz: A Web-based System to Visually Explore Networks of Law Article References
Lucio La Cava
|
Andrea Simeri
|
Andrea Tagarelli
SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Concepts
Andrés García-Silva
|
Cristian Berrio
|
José Manuél Gómez-Pérez
|
José Antonio Martínez Heras
|
Alessandro Donati
|
Ilaria Roma
DIANES: A DEI Audit Toolkit for News Sources
Xiaoxiao Shang
|
Zhiyuan Peng
|
Qiming Yuan
|
Sabiq Khan
|
Lauren Xie
|
Yi Fang
|
Subramaniam Vincent
A2A-API: A Prototype for Biomedical Information Retrieval Research and Benchmarking
Maciej Rybinski
|
Liam Watts
|
Sarvnaz Karimi
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs
Wen Zhang
|
Xiangnan Chen
|
Zhen Yao
|
Mingyang Chen
|
Yushan Zhu
|
Hongtao Yu
|
Yufeng Huang
|
Yajing Xu
|
Ningyu Zhang
|
Zezhong Xu
|
Zonggang Yuan
|
Feiyu Xiong
|
Huajun Chen
IRVILAB: Gamified Searching on Multilingual Wikipedia
Paavo Arvola
|
Tuulikki Alamettälä
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Jiangxu Lin
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Xiaolian Zhang
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Meng Wang
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Craig Macdonald
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Dawei Jiang
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Ke Chen
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Lidan Shou
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Vuk Vukovic
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Akhil Arora
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Huan-Cheng Chang
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Andreas Spitz
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Robert West
DDEN: A Heterogeneous Learning-to-Rank Approach with Deep Debiasing Experts Network
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Yiran Wang
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Taofeng Xue
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Kai Zhang
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Qin Zhang
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Zhonghuo Wu
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Yifan Yang
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Gong Zhang
ClueWeb22: 10 Billion Web Documents with Rich Information
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Chenyan Xiong
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Jamie Callan
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Cheng Chen
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Jonathan Johnston
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Xue-Yong Fu
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Shashi Bhushan TN
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Simon Corston-Oliver
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Lianghua Huang
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Yanhao Zhang
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Yun Zheng
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Pan Pan
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Maud Schwoerer
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Lucas Bernardi
Flipping the Script: Inverse Information Seeking Dialogues for Market Research
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Kathy Cheng
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Shi Zong
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Jimmy Lin
Information Ecosystem Threats in Minoritized Communities: Challenges, Open Problems and Research Directions
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Scott A. Hale
Extractive Search for Analysis of Biomedical Texts
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Ravi Starzl
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Edleno Silva de Moura
Query Facet Mapping and its Applications in Streaming Services: The Netflix Case Study
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Ivan Provalov
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Vickie Zhang
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Weidong Zhang
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Chenxu Lv
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Yuncheng Hua
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Wei Ye
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Chaobo Sun
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Shuaipeng Liu
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Fan Yang
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Guanglu Wan
An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios
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Gongduo Zhang
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Xiaolu Zhang
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Jun Zhou
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Qintong Wu
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Lihong Gu
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Jinjie Gu
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Yong He
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Yue Zhu
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Linjian Mo
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Scott Rome
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Sardar Hamidian
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Richard Walsh
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Kevin Foley
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Ferhan Ture
Recent Advances in Retrieval-Augmented Text Generation
Deng Cai
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Yan Wang
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Lemao Liu
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Shuming Shi
Retrieval and Recommendation Systems at the Crossroads of Artificial Intelligence, Ethics, and Regulation
Markus Schedl
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Emilia Gómez
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Elisabeth Lex
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities
Shoujin Wang
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Qi Zhang
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Liang Hu
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Xiuzhen Zhang
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Yan Wang
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Charu Aggarwal
Continual Learning Dialogue Systems - Learning during Conversation
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Bing Liu
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Edmon Begoli
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Sudarshan Srinivasan
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Maria Mahbub
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Negar Arabzadeh
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Shirin Seyedsalehi
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Morteza Zihayat
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Ebrahim Bagheri
Self-Supervised Learning for Recommender System
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Xiang Wang
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Xiangnan He
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Dawei Yin
What the Actual...Examining User Behaviour in Information Retrieval
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Dana McKay
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Arthur Brazinskas
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Yoshi Suhara
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Xiaolan Wang
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Bing Liu
Deep Knowledge Graph Representation Learning for Completion, Alignment, and Question Answering
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Sophie Fischer
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Paul Owoicho
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Filip Radlinski
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Federico Rossetto
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Johanne R. Trippas
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Hamed Zamani
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Maurits J. R. Bleeker
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Maarten de Rijke
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Koustuv Sinha
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Sami Jullien
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Robert Stojnic
ReNeuIR: Reaching Efficiency in Neural Information Retrieval
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Claudio Lucchese
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Franco Maria Nardini
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Svitlana Vakulenko
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Ondrej Dusek
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Leigh Clark
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Vaishali Pal
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Vaibhav Adlakha
The 10th International Workshop on News Recommendation and Analytics (INRA 2022)
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Andreas Lommatzsch
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Benjamin Kille
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Peng Liu
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Jon Atle Gulla
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Edward C. Malthouse
3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022)
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Hidir Aras
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Linda Andersson
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Florina Piroi
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Allan Hanbury
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Dean Alderucci
QUARE: 1st Workshop on Measuring the Quality of Explanations in Recommender Systems
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Oana Inel
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Sanne Vrijenhoek
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Martijn Millecamp
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Krisztian Balog
IWILDS'22 - Third International Workshop on Investigating Learning During Web Search
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Ran Yu
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Jiqun Liu
eCom'22: The SIGIR 2022 Workshop on eCommerce
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Surya Kallumadi
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Tracy Holloway King
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Shervin Malmasi
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Maarten de Rijke
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Jacopo Tagliabue
DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval
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Xin Xin
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Weinan Zhang
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Li Zhao
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Dawei Yin
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Grace Hui Yang
Fairness-Aware Question Answering for Intelligent Assistants
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Continuous Result Delta Evaluation of IR Systems
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Explainable Conversational Question Answering over Heterogeneous Sources
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