SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

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SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

Fernando Diaz, Chirag Shah, Torsten Suel, Pablo Castells, Rosie Jones, Tetsuya Sakai (Editors)

Anthology ID:: 2021.sigirconf_conference-2021
Year:: 2021
Venue:: sigirconf_conference
Publisher:: ACM
URL:: https://doi.org/10.1145/3404835
DOI:: 10.1145/3404835
DBLP:: conf/sigir/2021
BibTeX:: Download

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SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

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Deconfounded Video Moment Retrieval with Causal Intervention
Xun Yang | Fuli Feng | Wei Ji | Meng Wang | Tat-Seng Chua

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Mitigating Sentiment Bias for Recommender Systems
Chen Lin | Xinyi Liu | Guipeng Xv | Hui Li

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Personalized News Recommendation with Knowledge-aware Interactive Matching
Tao Qi | Fangzhao Wu | Chuhan Wu | Yongfeng Huang

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Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization
Yonghui Yang | Le Wu | Richang Hong | Kun Zhang | Meng Wang

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ReXPlug: Explainable Recommendation using Plug-and-Play Language Model
Deepesh V. Hada | Vijaikumar M | Shirish K. Shevade

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Group based Personalized Search by Integrating Search Behaviour and Friend Network
Yujia Zhou | Zhicheng Dou | Bingzheng Wei | Ruobing Xie | Ji-Rong Wen

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An Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search
Arnon Dagan | Ido Guy | Slava Novgorodov

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Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
Sebastian Hofstätter | Sheng-Chieh Lin | Jheng-Hong Yang | Jimmy Lin | Allan Hanbury

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Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search
Keping Bi | Qingyao Ai | W. Bruce Croft

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DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media
Hamad Zogan | Imran Razzak | Shoaib Jameel | Guandong Xu

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Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks
Wonchang Lee | Yeon-Chang Lee | Dongwon Lee | Sang-Wook Kim

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Hierarchical Multi-modal Contextual Attention Network for Fake News Detection
Shengsheng Qian | Jinguang Wang | Jun Hu | Quan Fang | Changsheng Xu

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Tracing Knowledge State with Individual Cognition and Acquisition Estimation
Ting Long | Yunfei Liu | Jian Shen | Weinan Zhang | Yong Yu

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Knowledge-based Review Generation by Coherence Enhanced Text Planning
Junyi Li | Wayne Xin Zhao | Zhicheng Wei | Nicholas Jing Yuan | Ji-Rong Wen

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UGRec: Modeling Directed and Undirected Relations for Recommendation
Xinxiao Zhao | Zhiyong Cheng | Lei Zhu | Jiecai Zheng | Xueqing Li

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Hybrid Learning to Rank for Financial Event Ranking
Fuli Feng | Moxin Li | Cheng Luo | Ritchie Ng | Tat-Seng Chua

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PreSizE: Predicting Size in E-Commerce using Transformers
Yotam Eshel | Or Levi | Haggai Roitman | Alexander Nus

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Understanding and Mitigating Bias in Online Health Search
Anat Hashavit | Hongning Wang | Raz Lin | Tamar Stern | Sarit Kraus

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Adapting Interactional Observation Embedding for Counterfactual Learning to Rank
Mouxiang Chen | Chenghao Liu | Jianling Sun | Steven C. H. Hoi

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This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics
Tim Draws | Nava Tintarev | Ujwal Gadiraju | Alessandro Bozzon | Benjamin Timmermans

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Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation of BERT Rankers
Navid Rekabsaz | Simone Kopeinik | Markus Schedl

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Unsupervised Proxy Selection for Session-based Recommender Systems
Junsu Cho | SeongKu Kang | Dongmin Hyun | Hwanjo Yu

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CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation
Shengyu Zhang | Dong Yao | Zhou Zhao | Tat-Seng Chua | Fei Wu

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Category-aware Collaborative Sequential Recommendation
Renqin Cai | Jibang Wu | Aidan San | Chong Wang | Hongning Wang

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Event Occurrence Date Estimation based on Multivariate Time Series Analysis over Temporal Document Collections
Jiexin Wang | Adam Jatowt | Masatoshi Yoshikawa

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Summarize Dates First: A Paradigm Shift in Timeline Summarization
Moreno La Quatra | Luca Cagliero | Elena Baralis | Alberto Messina | Maurizio Montagnuolo

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Allowing for The Grounded Use of Temporal Difference Learning in Large Ranking Models via Substate Updates
Daniel Cohen

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Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs
Magdalena Kaiser | Rishiraj Saha Roy | Gerhard Weikum

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Answering Any-hop Open-domain Questions with Iterative Document Reranking
Yuyu Zhang | Ping Nie | Arun Ramamurthy | Le Song

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Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations
Nghi D. Q. Bui | Yijun Yu | Lingxiao Jiang

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One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles
Zhengyi Ma | Zhicheng Dou | Yutao Zhu | Hanxun Zhong | Ji-Rong Wen

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Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
Lei Chen | Le Wu | Kun Zhang | Richang Hong | Meng Wang

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A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning
Ahmed Rashed | Josif Grabocka | Lars Schmidt-Thieme

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WGCN: Graph Convolutional Networks with Weighted Structural Features
Yunxiang Zhao | Jianzhong Qi | Qingwei Liu | Rui Zhang

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Privacy Protection in Deep Multi-modal Retrieval
Peng-Fei Zhang | Yang Li | Zi Huang | Hongzhi Yin

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Learning Discriminative Neural Representations for Event Detection
Jinzhi Liao | Xiang Zhao | Xinyi Li | Lingling Zhang | Jiuyang Tang

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Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models
Daniel Cohen | Bhaskar Mitra | Oleg Lesota | Navid Rekabsaz | Carsten Eickhoff

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Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings
Khoa D. Doan | Saurav Manchanda | Suchismit Mahapatra | Chandan K. Reddy

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MMConv: An Environment for Multimodal Conversational Search across Multiple Domains
Lizi Liao | Le Hong Long | Zheng Zhang | Minlie Huang | Tat-Seng Chua

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Learning Domain Semantics and Cross-Domain Correlations for Paper Recommendation
Yi Xie | Yuqing Sun | Elisa Bertino

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Modeling Intent Graph for Search Result Diversification
Zhan Su | Zhicheng Dou | Yutao Zhu | Xubo Qin | Ji-Rong Wen

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Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation
Yile Liang | Tieyun Qian | Qing Li | Hongzhi Yin

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Graph Meta Network for Multi-Behavior Recommendation
Lianghao Xia | Yong Xu | Chao Huang | Peng Dai | Liefeng Bo

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Fairness among New Items in Cold Start Recommender Systems
Ziwei Zhu | Jingu Kim | Trung Nguyen | Aish Fenton | James Caverlee

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Make It Easy: An Effective End-to-End Entity Alignment Framework
Congcong Ge | Xiaoze Liu | Lu Chen | Baihua Zheng | Yunjun Gao

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Files of a Feather Flock Together? Measuring and Modeling How Users Perceive File Similarity in Cloud Storage
Will Brackenbury | Galen Harrison | Kyle Chard | Aaron J. Elmore | Blase Ur

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CINES: Explore Citation Network and Event Sequences for Citation Forecasting
Fang He | Wang-Chien Lee | Tao-Yang Fu | Zhen Lei

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Multi-Modal Supplementary-Complementary Summarization using Multi-Objective Optimization
Anubhav Jangra | Sriparna Saha | Adam Jatowt | Mohammed Hasanuzzaman

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Few-Shot Conversational Dense Retrieval
Shi Yu | Zhenghao Liu | Chenyan Xiong | Tao Feng | Zhiyuan Liu

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Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback
Yifei Yuan | Wai Lam

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Neural Graph Matching based Collaborative Filtering
Yixin Su | Rui Zhang | Sarah M. Erfani | Junhao Gan

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The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation
Yuqi Qin | Pengfei Wang | Chenliang Li

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Dual Attention Transfer in Session-based Recommendation with Multi-dimensional Integration
Chen Chen | Jie Guo | Bin Song

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User-Centric Path Reasoning towards Explainable Recommendation
Chang-You Tai | Liang-Ying Huang | Chien-Kun Huang | Lun-Wei Ku

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On Interpretation and Measurement of Soft Attributes for Recommendation
Krisztian Balog | Filip Radlinski | Alexandros Karatzoglou

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How do Online Learning to Rank Methods Adapt to Changes of Intent?
Shengyao Zhuang | Guido Zuccon

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Scalable Personalised Item Ranking through Parametric Density Estimation
Riku Togashi | Masahiro Kato | Mayu Otani | Tetsuya Sakai | Shin'ichi Satoh

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New Insights into Metric Optimization for Ranking-based Recommendation
Roger Zhe Li | Julián Urbano | Alan Hanjalic

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Fast Attention-based Learning-To-Rank Model for Structured Map Search
Chiqun Zhang | Michael R. Evans | Max Lepikhin | Dragomir Yankov

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Learning to Rank for Mathematical Formula Retrieval
Behrooz Mansouri | Richard Zanibbi | Douglas W. Oard

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Legal Judgment Prediction via Relational Learning
Qian Dong | Shuzi Niu

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TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers
Yao Wu | Jian Cao | Guandong Xu | Yudong Tan

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Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness
Harrie Oosterhuis

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When Fair Ranking Meets Uncertain Inference
Avijit Ghosh | Ritam Dutt | Christo Wilson

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Policy-Gradient Training of Fair and Unbiased Ranking Functions
Himank Yadav | Zhengxiao Du | Thorsten Joachims

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Towards Personalized Fairness based on Causal Notion
Yunqi Li | Hanxiong Chen | Shuyuan Xu | Yingqiang Ge | Yongfeng Zhang

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DAIR: A Query-Efficient Decision-based Attack on Image Retrieval Systems
Mingyang Chen | Junda Lu | Yi Wang | Jianbin Qin | Wei Wang

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Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage
Xiaolin Chen | Xuemeng Song | Guozhen Peng | Shanshan Feng | Liqiang Nie

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A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images
Vito Walter Anelli | Yashar Deldjoo | Tommaso Di Noia | Daniele Malitesta | Felice Antonio Merra

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Dynamic Modality Interaction Modeling for Image-Text Retrieval
Leigang Qu | Meng Liu | Jianlong Wu | Zan Gao | Liqiang Nie

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PAN: Prototype-based Adaptive Network for Robust Cross-modal Retrieval
Zhixiong Zeng | Shuai Wang | Nan Xu | Wenji Mao

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Multi-Type Textual Reasoning for Product-Aware Answer Generation
Yue Feng | Zhaochun Ren | Weijie Zhao | Mingming Sun | Ping Li

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FORM: Follow the Online Regularized Meta-Leader for Cold-Start Recommendation
Xuehan Sun | Tianyao Shi | Xiaofeng Gao | Yanrong Kang | Guihai Chen

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Supporting Metacognition during Exploratory Search with the OrgBox
Anita Crescenzi | Austin R. Ward | Yuan Li | Rob Capra

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Meta-Inductive Node Classification across Graphs
Zhihao Wen | Yuan Fang | Zemin Liu

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"Did you buy it already?", Detecting Users Purchase-State From Their Product-Related Questions
Lital Kuchy | David Carmel | Thomas Huet | Elad Kravi

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Looking at CTR Prediction Again: Is Attention All You Need?
Yuan Cheng | Yanbo Xue

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Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
Wenjie Wang | Fuli Feng | Xiangnan He | Hanwang Zhang | Tat-Seng Chua

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PTHash: Revisiting FCH Minimal Perfect Hashing
Giulio Ermanno Pibiri | Roberto Trani

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Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking
Sebastian Hofstätter | Bhaskar Mitra | Hamed Zamani | Nick Craswell | Allan Hanbury

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Comprehensive Linguistic-Visual Composition Network for Image Retrieval
Haokun Wen | Xuemeng Song | Xin Yang | Yibing Zhan | Liqiang Nie

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Comparison-based Conversational Recommender System with Relative Bandit Feedback
Zhihui Xie | Tong Yu | Canzhe Zhao | Shuai Li

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When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution
Chuanhao Li | Qingyun Wu | Hongning Wang

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Glider: A Reinforcement Learning Approach to Extract UI Scripts from Websites
Yuanchun Li | Oriana Riva

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Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning
Yang Deng | Yaliang Li | Fei Sun | Bolin Ding | Wai Lam

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Transformer Reasoning Network for Personalized Review Summarization
Hongyan Xu | Hongtao Liu | Pengfei Jiao | Wenjun Wang

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Leveraging Lead Bias for Zero-shot Abstractive News Summarization
Chenguang Zhu | Ziyi Yang | Robert Gmyr | Michael Zeng | Xuedong Huang

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Retrieving Complex Tables with Multi-Granular Graph Representation Learning
Fei Wang | Kexuan Sun | Muhao Chen | Jay Pujara | Pedro A. Szekely

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TILDE: Term Independent Likelihood moDEl for Passage Re-ranking
Shengyao Zhuang | Guido Zuccon

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Bootstrapping User and Item Representations for One-Class Collaborative Filtering
Dongha Lee | SeongKu Kang | Hyunjun Ju | Chanyoung Park | Hwanjo Yu

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Evaluation Measures Based on Preference Graphs
Charles L. A. Clarke | Chengxi Luo | Mark D. Smucker

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Do Affective Cues Validate Behavioural Metrics for Search?
Daniel McDuff | Paul Thomas | Nick Craswell | Kael Rowan | Mary Czerwinski

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MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
Nick Craswell | Bhaskar Mitra | Emine Yilmaz | Daniel Campos | Jimmy Lin

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Towards Multi-Modal Conversational Information Seeking
Yashar Deldjoo | Johanne R. Trippas | Hamed Zamani

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An ALBERT-based Similarity Measure for Mathematical Answer Retrieval
Anja Reusch | Maik Thiele | Wolfgang Lehner

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An Exploration of Tester-based Evaluation of User Simulators for Comparing Interactive Retrieval Systems
Sahiti Labhishetty | Chengxiang Zhai

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Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer
Zhiwei Liu | Ziwei Fan | Yu Wang | Philip S. Yu

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Cluster-Based Bandits: Fast Cold-Start for Recommender System New Users
Sulthana Shams | Daron Anderson | Douglas J. Leith

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Counterfactual Explanations for Neural Recommenders
Khanh Hiep Tran | Azin Ghazimatin | Rishiraj Saha Roy

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Cross-Batch Negative Sampling for Training Two-Tower Recommenders
Jinpeng Wang | Jieming Zhu | Xiuqiang He

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DOZEN: Cross-Domain Zero Shot Named Entity Recognition with Knowledge Graph
Hoang Van Nguyen | Francesco Gelli | Soujanya Poria

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Dual Unbiased Recommender Learning for Implicit Feedback
Jae-woong Lee | Seongmin Park | Jongwuk Lee

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Empowering News Recommendation with Pre-trained Language Models
Chuhan Wu | Fangzhao Wu | Tao Qi | Yongfeng Huang

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Entangled Bidirectional Encoder to Autoregressive Decoder for Sequential Recommendation
Taegwan Kang | Hwanhee Lee | Byeongjin Choe | Kyomin Jung

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Entity Retrieval Using Fine-Grained Entity Aspects
Shubham Chatterjee | Laura Dietz

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Evaluating the Predictivity of IR Experiments
Lida Rashidi | Justin Zobel | Alistair Moffat

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Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries
Besnik Fetahu | Anjie Fang | Oleg Rokhlenko | Shervin Malmasi

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Hyperbolic Online Time Stream Modeling
Ramit Sawhney | Shivam Agarwal | Megh Thakkar | Arnav Wadhwa | Rajiv Ratn Shah

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ICAI-SR: Item Categorical Attribute Integrated Sequential Recommendation
Xu Yuan | Dongsheng Duan | Lingling Tong | Lei Shi | Cheng Zhang

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Identifying Queries in Instant Search Logs
Markus Fischer | Kristof Komlossy | Benno Stein | Martin Potthast | Matthias Hagen

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Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence
Bhaskar Mitra | Sebastian Hofstätter | Hamed Zamani | Nick Craswell

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Info-flow Enhanced GANs for Recommender
Yuan Lin | Zhang Xie | Bo Xu | Kan Xu | Hongfei Lin

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Is Query Performance Prediction With Multiple Query Variations Harder Than Topic Performance Prediction?
Oleg Zendel | J. Shane Culpepper | Falk Scholer

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Learning Passage Impacts for Inverted Indexes
Antonio Mallia | Omar Khattab | Torsten Suel | Nicola Tonellotto

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Learning Robust Dense Retrieval Models from Incomplete Relevance Labels
Prafull Prakash | Julian Killingback | Hamed Zamani

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Motif-aware Sequential Recommendation
Zeyu Cui | Yinjiang Cai | Shu Wu | Xibo Ma | Liang Wang

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Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization
Ramin Raziperchikolaei | Tianyu Li | Young-joo Chung

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On the Orthogonality of Bias and Utility in Ad hoc Retrieval
Amin Bigdeli | Negar Arabzadeh | Shirin Seyedsalehi | Morteza Zihayat | Ebrahim Bagheri

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Passage Retrieval for Outside-Knowledge Visual Question Answering
Chen Qu | Hamed Zamani | Liu Yang | W. Bruce Croft | Erik G. Learned-Miller

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Predicting Links on Wikipedia with Anchor Text Information
Robin Brochier | Frédéric Béchet

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Propensity-Independent Bias Recovery in Offline Learning-to-Rank Systems
Zohreh Ovaisi | Kathryn Vasilaky | Elena Zheleva

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Revisiting the Tag Relevance Prediction Problem
Denis Kotkov | Alexandr V. Maslov | Mats Neovius

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RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT
Qinglin Jia | Jingjie Li | Qi Zhang | Xiuqiang He | Jieming Zhu

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Robust Neural Text Classification and Entailment via Mixup Regularized Adversarial Training
Jiahao Zhao | Penghui Wei | Wenji Mao

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Sequential Recommendation for Cold-start Users with Meta Transitional Learning
Jianling Wang | Kaize Ding | James Caverlee

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Temporal Augmented Graph Neural Networks for Session-Based Recommendations
Huachi Zhou | Qiaoyu Tan | Xiao Huang | Kaixiong Zhou | Xiaoling Wang

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Text-to-Text Multi-view Learning for Passage Re-ranking
Jia-Huei Ju | Jheng-Hong Yang | Chuan-Ju Wang

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The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems
Elizabeth Gómez | Carlos Shui Zhang | Ludovico Boratto | Maria Salamó | Mirko Marras

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Web Document Encoding for Structure-Aware Keyphrase Extraction
Jihyuk Kim | Young-In Song | Seung-won Hwang

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Automatic Form Filling with Form-BERT
Gilad Fuchs | Haggai Roitman | Matan Mandelbrod

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DCSpell: A Detector-Corrector Framework for Chinese Spelling Error Correction
Jing Li | Dafei Yin | Haozhao Wang | Yonggang Wang

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Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction
Fan Zhou | Liu Yu | Xovee Xu | Goce Trajcevski

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Deep User Match Network for Click-Through Rate Prediction
Zai Huang | Mingyuan Tao | Bufeng Zhang

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Does BERT Pay Attention to Cyberbullying?
Fatma Elsafoury | Stamos Katsigiannis | Steven R. Wilson | Naeem Ramzan

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ECG Data Modeling and Analyzing via Deep Representation Learning and Nonparametric Hidden Markov Models
Jiaojiao Zhu | Wentao Fan

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Faster Index Reordering with Bipartite Graph Partitioning
Joel Mackenzie | Matthias Petri | Alistair Moffat

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GAIPS: Accelerating Maximum Inner Product Search with GPU
Long Xiang | Xiao Yan | Lan Lu | Bo Tang

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Generalized Zero-shot Intent Detection via Commonsense Knowledge
A. B. Siddique | Fuad T. Jamour | Luxun Xu | Vagelis Hristidis

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Graph-Structured Context Understanding for Knowledge-grounded Response Generation
Yanran Li | Wenjie Li | Zhitao Wang

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Hierarchical Dependence-aware Evaluation Measures for Conversational Search
Guglielmo Faggioli | Marco Ferrante | Nicola Ferro | Raffaele Perego | Nicola Tonellotto

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Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems
Ziming Li | Julia Kiseleva | Maarten de Rijke

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Knowledge Based Hyperbolic Propagation
Chang-You Tai | Chien-Kun Huang | Liang-Ying Huang | Lun-Wei Ku

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LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering
Zujie Liang | Haifeng Hu | Jiaying Zhu

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On the Privacy of Federated Pipelines
Reza Nasirigerdeh | Reihaneh Torkzadehmahani | Jan Baumbach | David B. Blumenthal

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On the Two-Sample Randomisation Test for IR Evaluation
Tetsuya Sakai

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Position Enhanced Mention Graph Attention Network for Dialogue Relation Extraction
Xinwei Long | Shuzi Niu | Yucheng Li

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Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution
Qiuhao Lu | Thien Huu Nguyen | Dejing Dou

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Predicting User Demography and Device from News Comments
Ohad Rozen | Joel Oren | Ariel Raviv

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Pseudo Siamese Network for Few-shot Intent Generation
Congying Xia | Caiming Xiong | Philip S. Yu

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Retrieving Implicit Information for Stock Movement Prediction
Tsun-Hsien Tang | Chung-Chi Chen | Hen-Hsen Huang | Hsin-Hsi Chen

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Retrieving Skill-Based Teams from Collaboration Networks
Radin Hamidi Rad | Ebrahim Bagheri | Mehdi Kargar | Divesh Srivastava | Jaroslaw Szlichta

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Rumor Detection on Social Media with Event Augmentations
Zhenyu He | Ce Li | Fan Zhou | Yi Yang

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Similar Trademark Detection via Semantic, Phonetic and Visual Similarity Information
Yingchi Liu | Quanzhi Li | Changlong Sun | Luo Si

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Structured Fine-Tuning of Contextual Embeddings for Effective Biomedical Retrieval
Alberto Ueda | Rodrygo L. T. Santos | Craig Macdonald | Iadh Ounis

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User Feedback and Ranking in-a-Loop: Towards Self-Adaptive Dialogue Systems
Chen Shi | Yuxiang Hu | Zengming Zhang | Liang Shao | Feijun Jiang

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User Preference-aware Fake News Detection
Yingtong Dou | Kai Shu | Congying Xia | Philip S. Yu | Lichao Sun

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Utility of Missing Concepts in Query-biased Summarization
Sheikh Muhammad Sarwar | Felipe Moraes | Jiepu Jiang | James Allan

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Variational Autoencoders for Top-K Recommendation with Implicit Feedback
Bahare Askari | Jaroslaw Szlichta | Amirali Salehi-Abari

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Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search
Ronak Pradeep | Xueguang Ma | Rodrigo Frassetto Nogueira | Jimmy Lin

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Visual Question Rewriting for Increasing Response Rate
Jiayi Wei | Xilian Li | Yi Zhang | Xin Eric Wang

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X-2ch: Quad-Channel Collaborative Graph Network over Knowledge-Embedded Edges
Kachun Lo | Tsukasa Ishigaki

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A Systematic Evaluation of Transfer Learning and Pseudo-labeling with BERT-based Ranking Models
Iurii Mokrii | Leonid Boytsov | Pavel Braslavski

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Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory
Lihan Wang | Min Yang | Chengming Li | Ying Shen | Ruifeng Xu

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Automated Graph Learning via Population Based Self-Tuning GCN
Ronghang Zhu | Zhiqiang Tao | Yaliang Li | Sheng Li

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AutoName: A Corpus-Based Set Naming Framework
Zhiqi Huang | Razieh Rahimi | Puxuan Yu | Jingbo Shang | James Allan

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Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora
Mikhail Fain | Niall Twomey | Danushka Bollegala

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Bayesian Critiquing with Keyphrase Activation Vectors for VAE-based Recommender Systems
Hojin Yang | Tianshu Shen | Scott Sanner

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Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading
Hoang Van | Vikas Yadav | Mihai Surdeanu

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CIFDM: Continual and Interactive Feature Distillation for Multi-Label Stream Learning
Yigong Wang | Zhuoyi Wang | Yu Lin | Latifur Khan | Dingcheng Li

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Clustering-Based Online News Topic Detection and Tracking Through Hierarchical Bayesian Nonparametric Models
Wentao Fan | Zhiyan Guo | Nizar Bouguila | Wenjuan Hou

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Communication Efficient Distributed Hypergraph Clustering
Chun Jiang Zhu | Qinqing Liu | Jinbo Bi

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Composite Code Sparse Autoencoders for First Stage Retrieval
Carlos Lassance | Thibault Formal | Stéphane Clinchant

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ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation
Liangwei Yang | Zhiwei Liu | Yingtong Dou | Jing Ma | Philip S. Yu

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Dual-View Distilled BERT for Sentence Embedding
Xingyi Cheng

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Graph Learning Regularization and Transfer Learning for Few-Shot Event Detection
Viet Dac Lai | Minh Van Nguyen | Thien Huu Nguyen | Franck Dernoncourt

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Graph Pooling via Coarsened Graph Infomax
Yunsheng Pang | Yunxiang Zhao | Dongsheng Li

doi dblp
Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation
Jaekeol Choi | Euna Jung | Jangwon Suh | Wonjong Rhee

doi dblp
Improving Neural Text Style Transfer by Introducing Loss Function Sequentiality
Chinmay Rane | Gaël Dias | Alexis Lechervy | Asif Ekbal

doi dblp
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences
Meng Liu | Yong Liu

doi dblp
KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval
Minghan Li | Éric Gaussier

doi dblp
Knowledge Graph Embedding via Metagraph Learning
Chanyoung Chung | Joyce Jiyoung Whang

doi dblp
Maximal Multipolarized Cliques Search in Signed Networks
Jie Gao | Fei Hao | Geyong Min | Zhipeng Cai

doi dblp
MetaP: Meta Pattern Learning for One-Shot Knowledge Graph Completion
Zhiyi Jiang | Jianliang Gao | Xinqi Lv

doi dblp
NIP-GCN: An Augmented Graph Convolutional Network with Node Interaction Patterns
Manish Chandra | Debasis Ganguly | Pabitra Mitra | Bithika Pal | James Thomas

doi dblp
Propensity-scored Probabilistic Label Trees
Marek Wydmuch | Kalina Jasinska-Kobus | Rohit Babbar | Krzysztof Dembczynski

doi dblp
ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction
Yue Zhang | Hongliang Fei | Ping Li

doi dblp
Regularized Dual-PPMI Co-clustering for Text Data
Séverine Affeldt | Lazhar Labiod | Mohamed Nadif

doi dblp
SDG: A Simplified and Dynamic Graph Neural Network
Dongqi Fu | Jingrui He

doi dblp
Semantic Query Labeling Through Synthetic Query Generation
Elias Bassani | Gabriella Pasi

doi dblp
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard
Jimmy Lin | Daniel Campos | Nick Craswell | Bhaskar Mitra | Emine Yilmaz

doi dblp
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
Thibault Formal | Benjamin Piwowarski | Stéphane Clinchant

doi dblp
Stopping Criteria for Technology Assisted Reviews based on Counting Processes
Alison Sneyd | Mark Stevenson

doi dblp
Targeted Attack and Defense for Deep Hashing
Xunguang Wang | Zheng Zhang | Guangming Lu | Yong Xu

doi dblp
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach
Rajdeep Mukherjee | Atharva Naik | Sriyash Poddar | Soham Dasgupta | Niloy Ganguly

doi dblp
Unsupervised Ensemble Learning with Noisy Label Correction
Xupeng Zou | Zhongnan Zhang | Zhen He | Liang Shi

doi dblp
Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs
Jingzhou Liu | Dominic J. D. Hughes | Yiming Yang

doi dblp
When Choice Happens: A Systematic Examination of Mouse Movement Length for Decision Making in Web Search
Lukas Brückner | Ioannis Arapakis | Luis A. Leiva

doi dblp
Window Navigation with Adaptive Probing for Executing BlockMax WAND
Jinjin Shao | Yifan Qiao | Shiyu Ji | Tao Yang

doi dblp
How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset
Iain Mackie | Jeffrey Dalton | Andrew Yates

doi dblp
Morphologically Annotated Amharic Text Corpora
Tilahun Yeshambel | Josiane Mothe | Yaregal Assabie

doi dblp
REGIS: A Test Collection for Geoscientific Documents in Portuguese
Lucas Lima de Oliveira | Regis Kruel Romeu | Viviane Pereira Moreira

doi dblp
WWW3E8: 259, 000 Relevance Labels for Studying the Effect of Document Presentation Order for Relevance Assessors
Tetsuya Sakai | Sijie Tao | Zhaohao Zeng

doi dblp
Advancements in the Music Information Retrieval Framework AMUSE over the Last Decade
Igor Vatolkin | Philipp Ginsel | Günter Rudolph

doi dblp
Conversational Entity Linking: Problem Definition and Datasets
Hideaki Joko | Faegheh Hasibi | Krisztian Balog | Arjen P. de Vries

doi dblp
On the Quality of the TREC-COVID IR Test Collections
Ellen M. Voorhees | Kirk Roberts

doi dblp
Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia
KayYen Wong | Miriam Redi | Diego Sáez-Trumper

doi dblp
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
Krishna Srinivasan | Karthik Raman | Jiecao Chen | Michael Bendersky | Marc Najork

doi dblp
A Test Collection for Ad-hoc Dataset Retrieval
Makoto P. Kato | Hiroaki Ohshima | Ying-Hsang Liu | Hsin-Liang Chen

doi dblp
Booking.com Multi-Destination Trips Dataset
Dmitri Goldenberg | Pavel Levin

doi dblp
EXTRA: Explanation Ranking Datasets for Explainable Recommendation
Lei Li | Yongfeng Zhang | Li Chen

doi dblp
POINTREC: A Test Collection for Narrative-driven Point of Interest Recommendation
Jafar Afzali | Aleksander Mark Drzewiecki | Krisztian Balog

doi dblp
Seer-Dock: A General-Purpose Dockerized Scholarly Document Collection and Management Framework
Dina Sayed | Mohamed Nour | Heiko Schuldt

doi dblp
TripClick: The Log Files of a Large Health Web Search Engine
Navid Rekabsaz | Oleg Lesota | Markus Schedl | Jon Brassey | Carsten Eickhoff

doi dblp
WTR: A Test Collection for Web Table Retrieval
Zhiyu Chen | Shuo Zhang | Brian D. Davison

doi dblp
DarkJargon.net: A Platform for Understanding Underground Conversation with Latent Meaning
Dominic Seyler | Wei Liu | Yunan Zhang | XiaoFeng Wang | ChengXiang Zhai

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OpenMatch: An Open Source Library for Neu-IR Research
Zhenghao Liu | Kaitao Zhang | Chenyan Xiong | Zhiyuan Liu | Maosong Sun

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Precision Medicine Search for Paediatric Oncology
Bevan Koopman | Tracey Wright | Natacha Omer | Veronica McCabe | Guido Zuccon

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PYA0: A Python Toolkit for Accessible Math-Aware Search
Wei Zhong | Jimmy Lin

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QuARk: A GUI for Quality-Aware Ranking of Arguments
Markus Nilles | Lorik Dumani | Ralf Schenkel

doi dblp
A Web-based Knowledge Hub for Exploration of Multiple Research Article Collections
Wei Emma Zhang | Miao Liu | Alan Pallath | Gokul Tamilventhan

doi dblp
FedNLP: An Interpretable NLP System to Decode Federal Reserve Communications
Jean Lee | Hoyoul Luis Youn | Nicholas Stevens | Josiah Poon | Soyeon Caren Han

doi dblp
OrgBox: Supporting Cognitive and Metacognitive Activities During Exploratory Search
Austin R. Ward | Robert Capra

doi dblp
QuTI! Quantifying Text-Image Consistency in Multimodal Documents
Matthias Springstein | Eric Müller-Budack | Ralph Ewerth

doi dblp
Towards Trustworthiness in the Context of Explainable Search
Sayantan Polley | Rashmi Raju Koparde | Akshaya Bindu Gowri | Maneendra Perera | Andreas Nürnberger

doi dblp
YASBIL: Yet Another Search Behaviour (and) Interaction Logger
Nilavra Bhattacharya | Jacek Gwizdka

doi dblp
Big Brother: A Drop-In Website Interaction Logging Service
Harrisen Scells | Jimmy | Guido Zuccon

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DiffIR: Exploring Differences in Ranking Models' Behavior
Kevin Martin Jose | Thong Nguyen | Sean MacAvaney | Jeffrey Dalton | Andrew Yates

doi dblp
Interacting with Information in Immersive Virtual Environments
Austin R. Ward | Yiyin Gu | Sandeep Avula | Praneeth Chakravarthula

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News2PubMed: A Browser Extension for Linking Health News to Medical Literature
Jun Wang | Bei Yu

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PECAN: A Platform for Searching Chat Conversations
Kunpeng Qin | Harrisen Scells | Guido Zuccon

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Science2Cure: A Clinical Trial Search Prototype
Maciej Rybinski | Sarvnaz Karimi | Aleney Khoo

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Learning with Little Data: Industry Challenges and Innovations
Nikhil Rao

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Restoring Healthy Online Discourse by Detecting and Reducing Controversy, Misinformation, and Toxicity Online
Shiri Dori-Hacohen | Keen Sung | Jengyu Chou | Julian Lustig-Gonzalez

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From Producer Success to Retention: A New Role of Search and Recommendation Systems on Marketplaces
Viet Ha-Thuc | Matthew Wood | Yunli Liu | Jagadeesan Sundaresan

doi dblp
Putting the Role of Personalization into Context
Dmitri Goldenberg

doi dblp
Transformer-based Banking Products Recommender System
Davide Liu | George Philippe Farajalla | Alexandre Boulenger

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Addressing Bias and Fairness in Search Systems
Ruoyuan Gao | Chirag Shah

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Beyond Probability Ranking Principle: Modeling the Dependencies among Documents
Liang Pang | Qingyao Ai | Jun Xu

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Deep Learning on Graphs for Natural Language Processing
Lingfei Wu | Yu Chen | Heng Ji | Bang Liu

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Tutorial on Fairness of Machine Learning in Recommender Systems
Yunqi Li | Yingqiang Ge | Yongfeng Zhang

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Interactive Information Retrieval with Bandit Feedback
Huazheng Wang | Yiling Jia | Hongning Wang

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Interactive Information Retrieval: Models, Algorithms, and Evaluation
Chengxiang Zhai

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Pretrained Transformers for Text Ranking: BERT and Beyond
Andrew Yates | Rodrigo Frassetto Nogueira | Jimmy Lin

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Stance Detection: Concepts, Approaches, Resources, and Outstanding Issues
Dilek Küçük | Fazli Can

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CSR 2021: The 1st International Workshop on Causality in Search and Recommendation
Yongfeng Zhang | Xu Chen | Yi Zhang | Xianjie Chen

doi dblp
DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval
Weinan Zhang | Xiangyu Zhao | Li Zhao | Dawei Yin | Grace Hui Yang

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ECOM'21: The SIGIR 2021 Workshop on eCommerce
Surya Kallumadi | Tracy Holloway King | Shervin Malmasi | Maarten de Rijke

doi dblp
IR for Children 2000-2020: Where Are We Now?
Theo Huibers | Monica Landoni | Emiliana Murgia | Maria Soledad Pera

doi dblp
Sim4IR: The SIGIR 2021 Workshop on Simulation for Information Retrieval Evaluation
Krisztian Balog | David Maxwell | Paul Thomas | Shuo Zhang

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Bridge the Gap: Industrial Data Pipeline oriented Recommendation Enhancement
Jie Dai

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Embedding Formulae and Text for Improved Math Retrieval
Behrooz Mansouri

doi dblp
Enabling Performance Prediction in Information Retrieval Evaluation
Guglielmo Faggioli

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Estimating the Reliability of Health-related Search Results
Marcos Fernández-Pichel

doi dblp
HONto: A Bottom-Up Knowledge Base from Textbooks for Recommending Contextually Relevant Documents
Sabine Wehnert

doi dblp
Improving Deep Learning based Multi-document Summarization through Linguistic Knowledge
Congbo Ma

doi dblp
Interpretable Document Representations for Fast and Accurate Retrieval of Mathematical Information
Vít Novotný

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New Perspectives to Query Performance Prediction Evaluation
Oleg Zendel

doi dblp
Semi-automatic Labelling of Scientific Articles using Deep Learning to Enlarge Benchmark Data for Scientific Summarization
Alaa El-Ebshihy

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Transfer Learning for the Multilingual and Multi-Domain Classification of Messages Relating to Crises
Cinthia Sánchez

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Understanding How Algorithmic and Cognitive Biases in Web Search Affect User Attitudes on Debated Topics
Tim Draws