ACM Transactions on Information Systems (TOIS) (2024)

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2024 Volume 42 Issue 1

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An Analysis of Fusion Functions for Hybrid Retrieval.
Sebastian Bruch|Siyu Gai|Amir Ingber
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Unifying Token- and Span-level Supervisions for Few-shot Sequence Labeling.
Zifeng Cheng|Qingyu Zhou|Zhiwei Jiang|Xuemin Zhao|Yunbo Cao|Qing Gu
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Training Robust Deep Collaborative Filtering Models via Adversarial Noise Propagation.
Hai Chen|Fulan Qian|Chang Liu|Yanping Zhang|Hang Su|Shu Zhao
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CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System.
Chongming Gao|Shiqi Wang|Shijun Li|Jiawei Chen|Xiangnan He|Wenqiang Lei|Biao Li|Yuan Zhang|Peng Jiang
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MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing.
Liangliang He|Xiao Li|Pancheng Wang|Jintao Tang|Ting Wang
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Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning.
Heyan Huang|Changsen Yuan|Qian Liu|Yixin Cao
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Stylized Data-to-text Generation: A Case Study in the E-Commerce Domain.
Liqiang Jing|Xuemeng Song|Xuming Lin|Zhongzhou Zhao|Wei Zhou|Liqiang Nie
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Conditional Cross-Platform User Engagement Prediction.
Xinhang Li|Zhaopeng Qiu|Jiacheng Jiang|Yong Zhang|Chunxiao Xing|Xian Wu
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Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments.
Haoyang Li|Ziwei Zhang|Xin Wang|Wenwu Zhu
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A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972-2020.
Molly McGregor|Leif Azzopardi|Martin Halvey
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Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation.
Chang Meng|Ziqi Zhao|Wei Guo|Yingxue Zhang|Haolun Wu|Chen Gao|Dong Li|Xiu Li|Ruiming Tang
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Selective Query Processing: A Risk-Sensitive Selection of Search Configurations.
Josiane Mothe|Md. Zia Ullah
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Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System.
Yuxin Ni|Yunwen Xia|Hui Fang|Chong Long|Xinyu Kong|Daqian Li|Dong Yang|Jie Zhang
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Learning from Hierarchical Structure of Knowledge Graph for Recommendation.
Yingrong Qin|Chen Gao|Shuangqing Wei|Yue Wang|Depeng Jin|Jian Yuan|Lin Zhang|Dong Li|Jianye Hao|Yong Li
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Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews.
Chuan Qin|Hengshu Zhu|Dazhong Shen|Ying Sun|Kaichun Yao|Peng Wang|Hui Xiong
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A Variational Neural Architecture for Skill-based Team Formation.
Radin Hamidi Rad|Hossein Fani|Ebrahim Bagheri|Mehdi Kargar|Divesh Srivastava|Jaroslaw Szlichta
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The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures.
Lida Rashidi|Justin Zobel|Alistair Moffat
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How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments.
Kevin Roitero|David La Barbera|Michael Soprano|Gianluca Demartini|Stefano Mizzaro|Tetsuya Sakai
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A Versatile Framework for Evaluating Ranked Lists in Terms of Group Fairness and Relevance.
Tetsuya Sakai|Jinyoung Kim|Inho Kang
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On the Ordering of Pooled Web Pages, Gold Assessments, and Bronze Assessments.
Tetsuya Sakai|Sijie Tao|Nuo Chen|Yujing Li|Maria Maistro|Zhumin Chu|Nicola Ferro
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Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems.
Weiwei Sun|Shuyu Guo|Shuo Zhang|Pengjie Ren|Zhumin Chen|Maarten de Rijke|Zhaochun Ren
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A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals.
Zhu Sun|Yu Lei|Lu Zhang|Chen Li|Yew-Soon Ong|Jie Zhang
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Causal Disentangled Recommendation against User Preference Shifts.
Wenjie Wang|Xinyu Lin|Liuhui Wang|Fuli Feng|Yunshan Ma|Tat-Seng Chua
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Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation.
Dongjing Wang|Xin Zhang|Yuyu Yin|Dongjin Yu|Guandong Xu|Shuiguang Deng
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Neural Architecture Search for GNN-Based Graph Classification.
Lanning Wei|Huan Zhao|Zhiqiang He|Quanming Yao
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FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems.
Yao Wu|Jian Cao|Guandong Xu
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Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching.
Hongyan Xu|Qiyao Peng|Hongtao Liu|Yueheng Sun|Wenjun Wang
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A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability.
Zhichao Xu|Hansi Zeng|Juntao Tan|Zuohui Fu|Yongfeng Zhang|Qingyao Ai
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Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation.
Mingshi Yan|Zhiyong Cheng|Chen Gao|Jing Sun|Fan Liu|Fuming Sun|Haojie Li
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Understanding Diversity in Session-based Recommendation.
Qing Yin|Hui Fang|Zhu Sun|Yew-Soon Ong
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M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition.
Yazhou Zhang|Ao Jia|Bo Wang|Peng Zhang|Dongming Zhao|Pu Li|Yuexian Hou|Xiaojia Jin|Dawei Song|Jing Qin
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A Review Selection Method Based on Consumer Decision Phases in E-commerce.
Jin Zhang|Xinrui Li|Liye Wang

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2024 Volume 42 Issue 2

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Personalized Query Expansion with Contextual Word Embeddings.
Elias Bassani|Nicola Tonellotto|Gabriella Pasi
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An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors.
Sebastian Bruch|Franco Maria Nardini|Amir Ingber|Edo Liberty
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Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model.
Xiaolin Chen|Xuemeng Song|Liqiang Jing|Shuo Li|Linmei Hu|Liqiang Nie
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DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation.
Lei Guo|Hao Liu|Lei Zhu|Weili Guan|Zhiyong Cheng
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Semantic Collaborative Learning for Cross-Modal Moment Localization.
Yupeng Hu|Kun Wang|Meng Liu|Haoyu Tang|Liqiang Nie
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Contrastive Self-supervised Learning in Recommender Systems: A Survey.
Mengyuan Jing|Yanmin Zhu|Tianzi Zang|Ke Wang
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Towards Efficient Coarse-grained Dialogue Response Selection.
Tian Lan|Xian-Ling Mao|Wei Wei|Xiaoyan Gao|Heyan Huang
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Heterogeneous Evolution Network Embedding with Temporal Extension for Intelligent Tutoring Systems.
Sannyuya Liu|Shengyingjie Liu|Zongkai Yang|Jianwen Sun|Xiaoxuan Shen|Qing Li|Rui Zou|Shangheng Du
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Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation.
Han Liu|Yinwei Wei|Fan Liu|Wenjie Wang|Liqiang Nie|Tat-Seng Chua
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PARADE: Passage Representation Aggregation forDocument Reranking.
Canjia Li|Andrew Yates|Sean MacAvaney|Ben He|Yingfei Sun
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Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue.
Longxuan Ma|Jiapeng Li|Mingda Li|Weinan Zhang|Ting Liu
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Incorporating Structural Information into Legal Case Retrieval.
Yixiao Ma|Yueyue Wu|Qingyao Ai|Yiqun Liu|Yunqiu Shao|Min Zhang|Shaoping Ma
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Person-action Instance Search in Story Videos: An Experimental Study.
Yanrui Niu|Chao Liang|Ankang Lu|Baojin Huang|Zhongyuan Wang|Jiahao Guo
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A Diffusion Model for POI Recommendation.
Yifang Qin|Hongjun Wu|Wei Ju|Xiao Luo|Ming Zhang
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Alleviating Video-length Effect for Micro-video Recommendation.
Yuhan Quan|Jingtao Ding|Chen Gao|Nian Li|Lingling Yi|Depeng Jin|Yong Li
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An Intent Taxonomy of Legal Case Retrieval.
Yunqiu Shao|Haitao Li|Yueyue Wu|Yiqun Liu|Qingyao Ai|Jiaxin Mao|Yixiao Ma|Shaoping Ma
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Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.
Xiaoyu Shi|Quanliang Liu|Hong Xie|Di Wu|Bo Peng|Mingsheng Shang|Defu Lian
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Understanding and Predicting User Satisfaction with Conversational Recommender Systems.
Clemencia Siro|Mohammad Aliannejadi|Maarten de Rijke
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BERD+: A Generic Sequential Recommendation Framework by Eliminating Unreliable Data with Item- and Attribute-level Signals.
Yatong Sun|Xiaochun Yang|Zhu Sun|Bin Wang
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SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System.
Chao Wang|Hengshu Zhu|Chen Zhu|Chuan Qin|Enhong Chen|Hui Xiong
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Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation.
Ke Wang|Yanmin Zhu|Tianzi Zang|Chunyang Wang|Kuan Liu|Peibo Ma
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Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation.
Zhongwei Wan|Xin Liu|Benyou Wang|Jiezhong Qiu|Boyu Li|Ting Guo|Guangyong Chen|Yang Wang
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Hierarchical Transformer with Spatio-temporal Context Aggregation for Next Point-of-interest Recommendation.
Jiayi Xie|Zhenzhong Chen
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NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework.
Shicheng Xu|Liang Pang|Huawei Shen|Xueqi Cheng
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Syntactic-Informed Graph Networks for Sentence Matching.
Chen Xu|Jun Xu|Zhenhua Dong|Ji-Rong Wen
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Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation.
Yang Yang|Chubing Zhang|Xin Song|Zheng Dong|Hengshu Zhu|Wenjie Li
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A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification.
Yitong Yao|Jing Zhang|Peng Zhang|Yueheng Sun
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Contrastive Graph Prompt-tuning for Cross-domain Recommendation.
Zixuan Yi|Iadh Ounis|Craig MacDonald
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SLED: Structure Learning based Denoising for Recommendation.
Shengyu Zhang|Tan Jiang|Kun Kuang|Fuli Feng|Jin Yu|Jianxin Ma|Zhou Zhao|Jianke Zhu|Hongxia Yang|Tat-Seng Chua|Fei Wu
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Toward Best Practices for Training Multilingual Dense Retrieval Models.
Xinyu Zhang|Kelechi Ogueji|Xueguang Ma|Jimmy Lin

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2024 Volume 42 Issue 3

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Better Understanding Procedural Search Tasks: Perceptions, Behaviors, and Challenges.
Bogeum Choi|Sarah Casteel|Jaime Arguello|Robert Capra
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DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing.
Chaoran Cui|Yumo Yao|Chunyun Zhang|Hebo Ma|Yuling Ma|Zhaochun Ren|Chen Zhang|James Ko
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Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning.
Wenjie Fu|Huandong Wang|Chen Gao|Guanghua Liu|Yong Li|Tao Jiang
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SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations.
Jingtong Gao|Xiangyu Zhao|Muyang Li|Minghao Zhao|Runze Wu|Ruocheng Guo|Yiding Liu|Dawei Yin
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Information Retrieval Evaluation Measures Defined on Some Axiomatic Models of Preferences.
Fernando Giner
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Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics.
Kaixi Hu|Lin Li|Qing Xie|Jianquan Liu|Xiaohui Tao|Guandong Xu
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Contextualizing and Expanding Conversational Queries without Supervision.
Antonios Minas Krasakis|Andrew Yates|Evangelos Kanoulas
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Exploring Dense Retrieval for Dialogue Response Selection.
Tian Lan|Deng Cai|Yan Wang|Yixuan Su|Heyan Huang|Xian-Ling Mao
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DiffuRec: A Diffusion Model for Sequential Recommendation.
Zihao Li|Aixin Sun|Chenliang Li
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Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models.
Lang Mei|Jiaxin Mao|Juan Hu|Naiqiang Tan|Hua Chai|Ji-Rong Wen
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Understanding Feeling-of-Knowing in Information Search: An EEG Study.
Dominika Michalkova|Mario Parra-Rodriguez|Yashar Moshfeghi
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Community Preserving Social Recommendation with Cyclic Transfer Learning.
Xuelian Ni|Fei Xiong|Shirui Pan|Jia Wu|Liang Wang|Hongshu Chen
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Less is More: Removing Redundancy of Graph Convolutional Networks for Recommendation.
Shaowen Peng|Kazunari Sugiyama|Tsunenori Mine
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Stopping Methods for Technology-assisted Reviews Based on Point Processes.
Mark Stevenson|Reem Bin Hezam
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Cross-domain Recommendation via Dual Adversarial Adaptation.
Hongzu Su|Jingjing Li|Zhekai Du|Lei Zhu|Ke Lu|Heng Tao Shen
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Personalized and Diversified: Ranking Search Results in an Integrated Way.
Shuting Wang|Zhicheng Dou|Jiongnan Liu|Qiannan Zhu|Ji-Rong Wen
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(Un)likelihood Training for Interpretable Embedding.
Jiaxin Wu|Chong-Wah Ngo|Wing-Kwong Chan|Zhijian Hou
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On the Impact of Showing Evidence from Peers in Crowdsourced Truthfulness Assessments.
Jiechen Xu|Lei Han|Shazia Sadiq|Gianluca Demartini
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H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation.
Zhizhuo Yin|Kai Han|Pengzi Wang|Xi Zhu
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Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures.
Wei Yuan|Shilong Yuan|Chaoqun Yang|Nguyen Quoc Viet Hung|Hongzhi Yin
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Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation.
Tianzi Zang|Yanmin Zhu|Ruohan Zhang|Chunyang Wang|Ke Wang|Jiadi Yu
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Robust Collaborative Filtering to Popularity Distribution Shift.
An Zhang|Wenchang Ma|Jingnan Zheng|Xiang Wang|Tat-Seng Chua
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Triple Dual Learning for Opinion-based Explainable Recommendation.
Yuting Zhang|Ying Sun|Fuzhen Zhuang|Yongchun Zhu|Zhulin An|Yongjun Xu
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rHDP: An Aspect Sharing-Enhanced Hierarchical Topic Model for Multi-Domain Corpus.
Yitao Zhang|Changxuan Wan|Keli Xiao|Qizhi Wan|Dexi Liu|Xiping Liu
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Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation.
Xiaokun Zhang|Bo Xu|Fenglong Ma|Chenliang Li|Yuan Lin|Hongfei Lin

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2024 Volume 42 Issue 4

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Intent-Oriented Dynamic Interest Modeling for Personalized Web Search.
Yutong Bai|Yujia Zhou|Zhicheng Dou|Ji-Rong Wen
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Tagging Items with Emerging Tags: A Neural Topic Model Based Few-Shot Learning Approach.
Shangkun Che|Hongyan Liu|Shen Liu
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Can Perturbations Help Reduce Investment Risks? Risk-aware Stock Recommendation via Split Variational Adversarial Training.
Jiezhu Cheng|Kaizhu Huang|Zibin Zheng
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FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph.
Wei Chen|Yiqing Wu|Zhao Zhang|Fuzhen Zhuang|Zhongshi He|Ruobing Xie|Feng Xia
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Few-shot Learning for Heterogeneous Information Networks.
Yang Fang|Xiang Zhao|Weidong Xiao|Maarten de Rijke
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Causal Inference in Recommender Systems: A Survey and Future Directions.
Chen Gao|Yu Zheng|Wenjie Wang|Fuli Feng|Xiangnan He|Yong Li
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Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines.
John P. Lalor|Ahmed Abbasi|Kezia Oketch|Yi Yang|Nicole Forsgren
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Filter-based Stance Network for Rumor Verification.
Jun Li|Yi Bin|Yunshan Ma|Yang Yang|Zi Huang|Tat-Seng Chua
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MCN4Rec: Multi-level Collaborative Neural Network for Next Location Recommendation.
Shuzhe Li|Wei Chen|Bin Wang|Chao Huang|Yanwei Yu|Junyu Dong
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MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation.
Hao Liu|Lei Guo|Lei Zhu|Yongqiang Jiang|Min Gao|Hongzhi Yin
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Improving Semi-Supervised Text Classification with Dual Meta-Learning.
Shujie Li|Guanghu Yuan|Min Yang|Ying Shen|Chengming Li|Ruifeng Xu|Xiaoyan Zhao
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MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation.
Yunshan Ma|Yingzhi He|Xiang Wang|Yinwei Wei|Xiaoyu Du|Yuyangzi Fu|Tat-Seng Chua
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Triple Sequence Learning for Cross-domain Recommendation.
Haokai Ma|Ruobing Xie|Lei Meng|Xin Chen|Xu Zhang|Leyu Lin|Jie Zhou
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ELAKT: Enhancing Locality for Attentive Knowledge Tracing.
Yanjun Pu|Fang Liu|Rongye Shi|Haitao Yuan|Ruibo Chen|Tianhao Peng|Wenjun Wu
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Using Neural and Graph Neural Recommender Systems to Overcome Choice Overload: Evidence From a Music Education Platform.
Hédi Razgallah|Michalis Vlachos|Ahmad Ajalloeian|Ninghao Liu|Johannes Schneider|Alexis Steinmann
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Predicting Representations of Information Needs from Digital Activity Context.
Tung Thanh Vuong|Tuukka Ruotsalo
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Counterfactual Explanation for Fairness in Recommendation.
Xiangmeng Wang|Qian Li|Dianer Yu|Qing Li|Guandong Xu
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Invisible Black-Box Backdoor Attack against Deep Cross-Modal Hashing Retrieval.
Tianshi Wang|Fengling Li|Lei Zhu|Jingjing Li|Zheng Zhang|Heng Tao Shen
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Token-Event-Role Structure-Based Multi-Channel Document-Level Event Extraction.
Qizhi Wan|Changxuan Wan|Keli Xiao|Hui Xiong|Dexi Liu|Xiping Liu|Rong Hu
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On the Effectiveness of Sampled Softmax Loss for Item Recommendation.
Jiancan Wu|Xiang Wang|Xingyu Gao|Jiawei Chen|Hongcheng Fu|Tianyu Qiu
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Relevance Feedback with Brain Signals.
Ziyi Ye|Xiaohui Xie|Qingyao Ai|Yiqun Liu|Zhihong Wang|Weihang Su|Min Zhang
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Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation.
Shengyu Zhang|Qiaowei Miao|Ping Nie|Mengze Li|Zhengyu Chen|Fuli Feng|Kun Kuang|Fei Wu
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Dense Text Retrieval Based on Pretrained Language Models: A Survey.
Wayne Xin Zhao|Jing Liu|Ruiyang Ren|Ji-Rong Wen
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Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph.
Rui Zha|Ying Sun|Chuan Qin|Le Zhang|Tong Xu|Hengshu Zhu|Enhong Chen
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Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems.
Zhengbang Zhu|Rongjun Qin|Junjie Huang|Xinyi Dai|Yang Yu|Yong Yu|Weinan Zhang

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2024 Volume 42 Issue 5

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Data Augmentation for Sample Efficient and Robust Document Ranking.
Abhijit Anand|Jurek Leonhardt|Jaspreet Singh|Koustav Rudra|Avishek Anand
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Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker.
Arian Askari|Suzan Verberne|Amin Abolghasemi|Wessel Kraaij|Gabriella Pasi
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Special Section on Efficiency in Neural Information Retrieval.
Sebastian Bruch|Claudio Lucchese|Maria Maistro|Franco Maria Nardini
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SPContrastNet: A Self-Paced Contrastive Learning Model for Few-Shot Text Classification.
Junfan Chen|Richong Zhang|Xiaohan Jiang|Chunming Hu
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Multi-grained Document Modeling for Search Result Diversification.
Zhirui Deng|Zhicheng Dou|Zhan Su|Ji-Rong Wen
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Towards Effective and Efficient Sparse Neural Information Retrieval.
Thibault Formal|Carlos Lassance|Benjamin Piwowarski|Stéphane Clinchant
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Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant.
Alexander Frummet|Alessandro Speggiorin|David Elsweiler|Anton Leuski|Jeff Dalton
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Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders.
Jurek Leonhardt|Henrik Müller|Koustav Rudra|Megha Khosla|Abhijit Anand|Avishek Anand
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Generalized Weak Supervision for Neural Information Retrieval.
Yen-Chieh Lien|Hamed Zamani|W. Bruce Croft
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Beyond Relevance: Factor-level Causal Explanation for User Travel Decisions with Counterfactual Data Augmentation.
Hanzhe Li|Jingjing Gu|Xinjiang Lu|Dazhong Shen|Yuting Liu|YaNan Deng|Guoliang Shi|Hui Xiong
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FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning.
Fei Liu|Chenyang Bu|Haotian Zhang|Le Wu|Kui Yu|Xuegang Hu
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An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models.
Qi Liu|Gang Guo|Jiaxin Mao|Zhicheng Dou|Ji-Rong Wen|Hao Jiang|Xinyu Zhang|Zhao Cao
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Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers.
David Rau|Mostafa Dehghani|Jaap Kamps
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Average User-Side Counterfactual Fairness for Collaborative Filtering.
Pengyang Shao|Le Wu|Kun Zhang|Defu Lian|Richang Hong|Yong Li|Meng Wang
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Diversifying Sequential Recommendation with Retrospective and Prospective Transformers.
Chaoyu Shi|Pengjie Ren|Dongjie Fu|Xin Xin|Shansong Yang|Fei Cai|Zhaochun Ren|Zhumin Chen
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Passage-aware Search Result Diversification.
Zhan Su|Zhicheng Dou|Yutao Zhu|Ji-Rong Wen
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DHyper: A Recurrent Dual Hypergraph Neural Network for Event Prediction in Temporal Knowledge Graphs.
Xing Tang|Ling Chen|Hongyu Shi|Dandan Lyu
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Listwise Generative Retrieval Models via a Sequential Learning Process.
Yubao Tang|Ruqing Zhang|Jiafeng Guo|Maarten de Rijke|Wei Chen|Xueqi Cheng
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Privacy-preserving Cross-domain Recommendation with Federated Graph Learning.
Changxin Tian|Yuexiang Xie|Xu Chen|Yaliang Li|Xin Zhao
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Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialogue.
Jian Wang|Dongding Lin|Wenjie Li
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Personality-affected Emotion Generation in Dialog Systems.
Zhiyuan Wen|Jiannong Cao|Jiaxing Shen|Ruosong Yang|Shuaiqi Liu|Maosong Sun
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Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering.
Enyue Yang|Weike Pan|Qiang Yang|Zhong Ming
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Distributional Fairness-aware Recommendation.
Hao Yang|Xian Wu|Zhaopeng Qiu|Yefeng Zheng|Xu Chen
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Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation.
Surong Yan|Chenglong Shi|Haosen Wang|Lei Chen|Ling Jiang|Ruilin Guo|Kwei-Jay Lin
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Deep Coupling Network for Multivariate Time Series Forecasting.
Kun Yi|Qi Zhang|Hui He|Kaize Shi|Liang Hu|Ning An|Zhendong Niu
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SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner.
Yu-Xiang Zhang|Junjie Wang|Xinyu Zhu|Tetsuya Sakai|Hayato Yamana
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Cross-Domain NER under a Divide-and-Transfer Paradigm.
Xinghua Zhang|Bowen Yu|Xin Cong|Taoyu Su|Quangang Li|Tingwen Liu|Hongbo Xu
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Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding.
Yunchang Zhu|Liang Pang|Kangxi Wu|Yanyan Lan|Huawei Shen|Xueqi Cheng

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2024 Volume 42 Issue 6

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MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation.
Jingmin An|Ming Gao|Jiafu Tang
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Bridging Dense and Sparse Maximum Inner Product Search.
Sebastian Bruch|Franco Maria Nardini|Amir Ingber|Edo Liberty
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On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems.
Xiaocong Chen|Siyu Wang|Julian J. McAuley|Dietmar Jannach|Lina Yao
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Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.
Lijian Chen|Wei Yuan|Tong Chen|Guanhua Ye|Nguyen Quoc Viet Hung|Hongzhi Yin
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Our Model Achieves Excellent Performance on MovieLens: What Does It Mean?
Yu-Chen Fan|Yitong Ji|Jie Zhang|Aixin Sun
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A Blueprint of IR Evaluation Integrating Task and User Characteristics.
Kalervo Järvelin|Eero Sormunen
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TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation.
Yiheng Jiang|Yuanbo Xu|Yongjian Yang|Funing Yang|Pengyang Wang|Chaozhuo Li|Fuzhen Zhuang|Hui Xiong
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A Self-Distilled Learning to Rank Model for Ad Hoc Retrieval.
Sanaz Keshvari|Farzan Saeedi|Hadi Sadoghi Yazdi|Faezeh Ensan
doi dblp
ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation.
Siyi Lin|Sheng Zhou|Jiawei Chen|Yan Feng|Qihao Shi|Chun Chen|Ying Li|Can Wang
doi dblp
Cluster-Based Graph Collaborative Filtering.
Fan Liu|Shuai Zhao|Zhiyong Cheng|Liqiang Nie|Mohan S. Kankanhalli
doi dblp
Collaborative Sequential Recommendations via Multi-view GNN-transformers.
Tianze Luo|Yong Liu|Sinno Jialin Pan
doi dblp
Mixture-of-Languages Routing for Multilingual Dialogues.
Jiahuan Pei|Guojun Yan|Maarten de Rijke|Pengjie Ren
doi dblp
Unsupervised Social Bot Detection via Structural Information Theory.
Hao Peng|Jingyun Zhang|Xiang Huang|Zhifeng Hao|Angsheng Li|Zhengtao Yu|Philip S. Yu
doi dblp
Breaking Through the Noisy Correspondence: A Robust Model for Image-Text Matching.
Haitao Shi|Meng Liu|Xiaoxuan Mu|Xuemeng Song|Yupeng Hu|Liqiang Nie
doi dblp
Unifying Graph Neural Networks with a Generalized Optimization Framework.
Chuan Shi|Meiqi Zhu|Yue Yu|Xiao Wang|Junping Du
doi dblp
City Matters! A Dual-Target Cross-City Sequential POI Recommendation Model.
Ke Sun|Chenliang Li|Tieyun Qian
doi dblp
M3Rec: A Context-Aware Offline Meta-Level Model-Based Reinforcement Learning Approach for Cold-Start Recommendation.
Yanan Wang|Yong Ge|Zhepeng Li|Li Li|Rui Chen
doi dblp
Document-level Relation Extraction with Progressive Self-distillation.
Quan Wang|Zhendong Mao|Jie Gao|Yongdong Zhang
doi dblp
Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework.
Zhidan Wang|Lixin Zou|Chenliang Li|Shuaiqiang Wang|Xu Chen|Dawei Yin|Weidong Liu
doi dblp
Dual Contrastive Learning for Cross-Domain Named Entity Recognition.
Jingyun Xu|Junnan Yu|Yi Cai|Tat-Seng Chua
doi dblp
XLORE 3: A Large-Scale Multilingual Knowledge Graph from Heterogeneous Wiki Knowledge Resources.
Kaisheng Zeng|Hailong Jin|Xin Lv|Fangwei Zhu|Lei Hou|Yi Zhang|Fan Pang|Yu Qi|Dingxiao Liu|Juanzi Li|Ling Feng
doi dblp
On Elastic Language Models.
Chen Zhang|Benyou Wang|Dawei Song
doi dblp
Soft Contrastive Sequential Recommendation.
Yabin Zhang|Zhenlei Wang|Wenhui Yu|Lantao Hu|Peng Jiang|Kun Gai|Xu Chen
doi dblp
ROGER: Ranking-Oriented Generative Retrieval.
Yujia Zhou|Jing Yao|Zhicheng Dou|Yiteng Tu|Ledell Wu|Tat-Seng Chua|Ji-Rong Wen
doi dblp
Multi-Hop Multi-View Memory Transformer for Session-Based Recommendation.
Xingrui Zhuo|Shengsheng Qian|Jun Hu|Fuxin Dai|Kangyi Lin|Gongqing Wu
doi dblp
Knowledge-Enhanced Conversational Recommendation via Transformer-Based Sequential Modeling.
Jie Zou|Aixin Sun|Cheng Long|Evangelos Kanoulas
doi dblp
Adaptive Taxonomy Learning and Historical Patterns Modeling for Patent Classification.
Tao Zou|Le Yu|Junchen Ye|Leilei Sun|Bowen Du|Deqing Wang