| 2020 | Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation. | Shaoyun Shi, Weizhi Ma, Min Zhang, Yongfeng Zhang, Xinxing Yu, Houzhi Shan, Yiqun Liu, Shaoping Ma |
| 2020 | G2T: Generating Fluent Descriptions for Knowledge Graph. | Yunzhou Shi, Zhiling Luo, Pengcheng Zhu, Feng Ji, Wei Zhou, Haiqing Chen, Yujiu Yang |
| 2020 | Learning to Ask Screening Questions for Job Postings. | Baoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He |
| 2020 | Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process. | Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang |
| 2020 | Towards Legal Case Retrieval. | Yunqiu Shao |
| 2020 | Tutorial on Task-Based Search and Assistance. | Chirag Shah, Ryen W. White |
| 2020 | A Study of Methods for the Generation of Domain-Aware Word Embeddings. | Dominic Seyler, ChengXiang Zhai |
| 2020 | The Curious Case of IR Explainability: Explaining Document Scores within and across Ranking Models. | Procheta Sen, Debasis Ganguly, Manisha Verma, Gareth J. F. Jones |
| 2020 | The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation. | Tobias Schnabel, Saleema Amershi, Paul N. Bennett, Peter Bailey, Thorsten Joachims |
| 2020 | Evaluation of Cross Domain Text Summarization. | Liam Scanlon, Shiwei Zhang, Xiuzhen Zhang, Mark Sanderson |
| 2020 | A Test Collection for Relevance and Sensitivity. | Mahmoud F. Sayed, William Cox, Jonah Lynn Rivera, Caitlin Christian-Lamb, Modassir Iqbal, Douglas W. Oard, Katie Shilton |
| 2020 | Query by Example for Cross-Lingual Event Retrieval. | Sheikh Muhammad Sarwar, James Allan |
| 2020 | MVL: Multi-View Learning for News Recommendation. | T. Y. S. S. Santosh, Avirup Saha, Niloy Ganguly |
| 2020 | GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. | Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram |
| 2020 | Good Evaluation Measures based on Document Preferences. | Tetsuya Sakai, Zhaohao Zeng |
| 2020 | Dual Learning Algorithm for Delayed Conversions. | Yuta Saito, Gota Morishita, Shota Yasui |
| 2020 | Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback. | Yuta Saito |
| 2020 | How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. | Noveen Sachdeva, Julian J. McAuley |
| 2020 | QuAChIE: Question Answering based Chinese Information Extraction System. | Dongyu Ru, Zhenghui Wang, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu |
| 2020 | Question Answering over Curated and Open Web Sources. | Rishiraj Saha Roy, Avishek Anand |
| 2020 | Distributed Equivalent Substitution Training for Large-Scale Recommender Systems. | Haidong Rong, Yangzihao Wang, Feihu Zhou, Junjie Zhai, Haiyang Wu, Rui Lan, Fan Li, Han Zhang, Yuekui Yang, Zhenyu Guo, Di Wang |
| 2020 | Can The Crowd Identify Misinformation Objectively?: The Effects of Judgment Scale and Assessor's Background. | Kevin Roitero, Michael Soprano, Shaoyang Fan, Damiano Spina, Stefano Mizzaro, Gianluca Demartini |
| 2020 | Sequential Recommendation with Self-Attentive Multi-Adversarial Network. | Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen |
| 2020 | Do Neural Ranking Models Intensify Gender Bias? | Navid Rekabsaz, Markus Schedl |
| 2020 | Search Result Explanations Improve Efficiency and Trust. | Jerome Ramos, Carsten Eickhoff |