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SIGIR 2020: all accepted papers

382 papers · page 1 of 4 · the most cited first · ← SIGIR 2020

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  1. LightGCNXiangnan He, Kuan Deng, Xiang Wang et al.4,430 citations
  2. ColBERTOmar Khattab, Matei Zaharia1,248 citations · our summary
  3. Disentangled Graph Collaborative FilteringXiang Wang, Hongye Jin, An Zhang et al.624 citations
  4. Global Context Enhanced Graph Neural Networks for Session-based RecommendationZiyang Wang, Wei Wei, Gao Cong et al.558 citations
  5. Multi-behavior Recommendation with Graph Convolutional NetworksBowen Jin, Chen Gao, Xiangnan He et al.415 citations
  6. CKANZe Wang, Guangyan Lin, Huobin Tan et al.311 citations
  7. Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud DetectionZhiwei Liu, Yingtong Dou, Philip S. Yu et al.301 citations
  8. Next-item Recommendation with Sequential HypergraphsJianling Wang, Kaize Ding, Liangjie Hong et al.277 citations
  9. TAGNN: Target Attentive Graph Neural Networks for Session-based RecommendationFeng Yu, Yanqiao Zhu, Qiang Liu et al.230 citations
  10. Self-Supervised Reinforcement Learning for Recommender SystemsXin Xin, Alexandros Karatzoglou, Ioannis Arapakis et al.219 citations
  11. Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal RetrievalSong Liu, Shengsheng Qian, Yang Guan et al.212 citations
  12. Streaming Graph Neural NetworksYao Ma, Ziyi Guo, Zhaocun Ren et al.209 citations
  13. Controlling Fairness and Bias in Dynamic Learning-to-RankMarco Morik, Ashudeep Singh, Jessica Hong et al.205 citations
  14. CATNCheng Zhao, Chenliang Li, Rong Xiao et al.203 citations
  15. Fairness-Aware Explainable Recommendation over Knowledge GraphsZuohui Fu, Yikun Xian, Ruoyuan Gao et al.202 citations
  16. A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform DataDugang Liu, Pengxiang Cheng, Zhenhua Dong et al.186 citations
  17. Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous ViewJibing Gong, Shen Wang, Jinlong Wang et al.176 citations
  18. Neighbor Interaction Aware Graph Convolution Networks for RecommendationJianing Sun, Yingxue Zhang, Wei Guo et al.171 citations
  19. Interactive Recommender System via Knowledge Graph-enhanced Reinforcement LearningSijin Zhou, Xinyi Dai, Haokun Chen et al.166 citations
  20. GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster DetectionShijie Zhang, Hongzhi Yin, Tong Chen et al.161 citations
  21. Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and RecommendationFajie Yuan, Xiangnan He, Alexandros Karatzoglou et al.157 citations
  22. Convolutional Knowledge Tracing: Modeling Individualization in Student Learning ProcessShuanghong Shen, Qi Liu, Enhong Chen et al.149 citations
  23. Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer NetworkLianghao Xia, Chao Huang, Yong Xu et al.146 citations
  24. Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate PredictionHong Wen, Jing Zhang, Yuan Wang et al.135 citations
  25. Few-Shot Generative Conversational Query RewritingYu Shi, Jiahua Liu, Jingqin Yang et al.135 citations
  26. Modeling Personalized Item Frequency Information for Next-basket RecommendationHaoji Hu, Xiangnan He, Jinyang Gao et al.135 citations
  27. FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal RetrievalDehong Gao, Linbo Jin, Ben Chen et al.132 citations
  28. Context-Aware Term Weighting For First Stage Passage RetrievalZhuyun Dai, Jamie Callan129 citations
  29. Hierarchical Fashion Graph Network for Personalized Outfit RecommendationXingchen Li, Xiang Wang, Xiangnan He et al.129 citations
  30. DGL-KEDa Zheng, Xiang Hui Song, Chao Ma et al.128 citations
  31. Make It a ChorusChenyang Wang, Min Zhang, Weizhi Ma et al.128 citations
  32. Tree-Augmented Cross-Modal Encoding for Complex-Query Video RetrievalXun Yang, Jianfeng Dong, Yixin Cao et al.128 citations
  33. Bundle Recommendation with Graph Convolutional NetworksJianxin Chang, Chen Gao, Xiangnan He et al.127 citations
  34. Meta Matrix Factorization for Federated Rating PredictionsYujie Lin, Pengjie Ren, Zhumin Chen et al.125 citations
  35. Understanding Echo Chambers in E-commerce Recommender SystemsYingqiang Ge, Shuya Zhao, Honglu Zhou et al.125 citations
  36. Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based RecommendationWenjing Meng, Deqing Yang, Yanghua Xiao120 citations
  37. KERLPengfei Wang, Fan Yu, Long Xia et al.120 citations
  38. Neural Interactive Collaborative FilteringLixin Zou, Long Xia, Yulong Gu et al.119 citations
  39. SetRankLiang Pang, Jun Xu, Qingyao Ai et al.111 citations
  40. GAGRuihong Qiu, Hongzhi Yin, Zi Helen Huang et al.110 citations
  41. User Behavior Retrieval for Click-Through Rate PredictionJiarui Qin, Weinan Zhang, Xin Wu et al.109 citations
  42. Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge GraphsKangzhi Zhao, Xiting Wang, Yuren Zhang et al.108 citations
  43. A Heterogeneous Graph Neural Model for Cold-start RecommendationSiwei Liu, Iadh Ounis, Craig Macdonald et al.107 citations
  44. Knowledge Graph-based Event Embedding Framework for Financial Quantitative InvestmentsDawei Cheng, Fangzhou Yang, Xiaoyang Wang et al.106 citations
  45. Query Resolution for Conversational Search with Limited SupervisionNikos Voskarides, Dan Li, Pengjie Ren et al.106 citations
  46. Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking SystemsZiwei Zhu, Jianling Wang, James Caverlee104 citations
  47. Try This InsteadTong Chen, Hongzhi Yin, Guanhua Ye et al.104 citations
  48. GroupIMAravind Sankar, Yanhong Wu, Yuhang Wu et al.100 citations
  49. HMEShanshan Feng, Lucas Vinh Tran, Gao Cong et al.100 citations
  50. Joint Item Recommendation and Attribute InferenceLe Wu, Yonghui Yang, Kun Zhang et al.100 citations
  51. ESAMZhihong Chen, Rong Xiao, Chenliang Li et al.99 citations
  52. Sequential Recommendation with Self-Attentive Multi-Adversarial NetworkRuiyang Ren, Zhaoyang Liu, Yaliang Li et al.96 citations
  53. Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit FeedbackYuta Saito91 citations
  54. Operationalizing the Legal Principle of Data Minimization for PersonalizationAsia J. Biega, Peter Potash, Hal Daumé et al.91 citations
  55. Local Self-Attention over Long Text for Efficient Document RetrievalSebastian Hofstätter, Hamed Zamani, Bhaskar Mitra et al.90 citations
  56. Measuring Recommendation Explanation QualityKrisztian Balog, Filip Radlinski90 citations
  57. Time MattersWenwen Ye, Shuaiqiang Wang, Xu Chen et al.88 citations
  58. Analyzing and Learning from User Interactions for Search ClarificationHamed Zamani, Bhaskar Mitra, Everest Chen et al.84 citations
  59. Open-Retrieval Conversational Question AnsweringChen Qu, Liu Yang, Cen Chen et al.84 citations
  60. Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts TransformationZiwei Zhu, Shahin Sefati, Parsa Saadatpanah et al.84 citations
  61. Automated Embedding Size Search in Deep Recommender SystemsHaochen Liu, Xiangyu Zhao, Chong Wang et al.77 citations
  62. Towards Question-based Recommender SystemsJie Zou, Yifan Chen, Evangelos Kanoulas76 citations
  63. Expansion via Prediction of Importance with ContextualizationSean MacAvaney, Franco Maria Nardini, Raffaele Perego et al.73 citations
  64. Conversational Recommendation: Formulation, Methods, and EvaluationWenqiang Lei, Xiangnan He, Maarten de Rijke et al.71 citations
  65. How to Retrain Recommender System?Yang Zhang, Fuli Feng, Chenxu Wang et al.70 citations
  66. Jointly Non-Sampling Learning for Knowledge Graph Enhanced RecommendationChong Chen, Min Zhang, Weizhi Ma et al.70 citations
  67. MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer PatientsJianliang Gao, Tengfei Lyu, Fan Xiong et al.69 citations
  68. Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media RetrievalDi Wang, Quan Wang, Yaqiang An et al.69 citations
  69. Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain RecommendationAdit Krishnan, Mahashweta Das, Mangesh Bendre et al.65 citations
  70. Degree-Aware Alignment for Entities in TailWeixin Zeng, Xiang Hui Zhao, Wei Wang et al.64 citations
  71. Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding LearningHan Zhang, Songlin Wang, Kang Zhang et al.64 citations
  72. ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective RecommendationYufei Feng, Binbin Hu, Fuyu Lv et al.62 citations
  73. CAsT-19: A Dataset for Conversational Information SeekingJeff Dalton, Chenyan Xiong, Vaibhav Kumar et al.62 citations
  74. REL: An Entity Linker Standing on the Shoulders of GiantsJohannes M. van Hulst, Faegheh Hasibi, Koen Dercksen et al.62 citations
  75. Efficient Document Re-Ranking for Transformers by Precomputing Term RepresentationsSean MacAvaney, Franco Maria Nardini, Raffaele Perego et al.61 citations
  76. Macaw: An Extensible Conversational Information Seeking PlatformHamed Zamani, Nick Craswell61 citations
  77. Policy-Aware Unbiased Learning to Rank for Top-k RankingsHarrie Oosterhuis, Maarten de Rijke60 citations
  78. A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start UsersYe Bi, Liqiang Song, Mengqiu Yao et al.59 citations
  79. Guided TransformerHelia Hashemi, Hamed Zamani, W. Bruce Croft59 citations
  80. How Useful are Reviews for Recommendation? A Critical Review and Potential ImprovementsNoveen Sachdeva, Julian McAuley58 citations
  81. Spatio-Temporal Dual Graph Attention Network for Query-POI MatchingZixuan Yuan, Hao Liu, Yanchi Liu et al.58 citations
  82. DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance DomainYe Bi, Liqiang Song, Mengqiu Yao et al.57 citations
  83. A Re-visit of the Popularity Baseline in Recommender SystemsYitong Ji, Aixin Sun, Jie Zhang et al.56 citations
  84. Encoding History with Context-aware Representation Learning for Personalized SearchYujia Zhou, Zhicheng Dou, Ji-Rong Wen55 citations
  85. A Generic Network Compression Framework for Sequential Recommender SystemsYang Sun, Fajie Yuan, Min Yang et al.54 citations
  86. GAMEZhixiang He, Chi-Yin Chow, Jia-Dong Zhang54 citations
  87. MVINChang-You Tai, Meng-Ru Wu, Yun-Wei Chu et al.54 citations
  88. Sampler Design for Implicit Feedback Data by Noisy-label Robust LearningWenhui Yu, Zheng Qin53 citations
  89. An Intent-guided Collaborative Machine for Session-based RecommendationZhiqiang Pan, Fei Cai, Yanxiang Ling et al.51 citations
  90. Rethinking Item Importance in Session-based RecommendationZhiqiang Pan, Fei Cai, Yanxiang Ling et al.51 citations
  91. A Transformer-based Embedding Model for Personalized Product SearchKeping Bi, Qingyao Ai, W. Bruce Croft50 citations
  92. AR-CFDong‐Kyu Chae, Jihoo Kim, Duen Horng Chau et al.50 citations
  93. Deep Reinforcement Learning for Information Retrieval: Fundamentals and AdvancesWeinan Zhang, Xiangyu Zhao, Zhao Li et al.50 citations
  94. Expressions of Style in Information Seeking Conversation with an AgentPaul Thomas, Daniel McDuff, Mary P. Czerwinski et al.50 citations
  95. How Dataset Characteristics Affect the Robustness of Collaborative Recommendation ModelsYashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio et al.50 citations
  96. Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge GraphsLu Gan, Diana Nurbakova, Léa Laporte et al.48 citations
  97. Table Search Using a Deep Contextualized Language ModelZhiyu Chen, Mohamed Trabelsi, Jeff Heflin et al.48 citations
  98. Web of Scholars: A Scholar Knowledge GraphJiaying Liu, Jing Fei Ren, Wenqing Zheng et al.48 citations
  99. Do Neural Ranking Models Intensify Gender Bias?Navid Rekabsaz, Markus Schedl47 citations
  100. Domain-Adaptive Neural Automated Essay ScoringYue Cao, Hanqi Jin, Xiaojun Wan et al.47 citations

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