| 2020 | Preference-based Evaluation Metrics for Web Image Search. | Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Haitian Chen, Min Zhang, Shaoping Ma |
| 2020 | Modeling User Behavior for Vertical Search: Images, Apps and Products. | Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke |
| 2020 | Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. | Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo |
| 2020 | BIRDS 2020 - Bridging the Gap between Information Science, Information Retrieval and Data Science: Preface. | |
| 2020 | Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. | Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang |
| 2020 | TFNet: Multi-Semantic Feature Interaction for CTR Prediction. | Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang |
| 2020 | Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. | Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang |
| 2020 | How UMass-FSD Inadvertently Leverages Temporal Bias. | Dominik Wurzer, Yumeng Qin |
| 2020 | Investigating Reading Behavior in Fine-grained Relevance Judgment. | Zhijing Wu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2020 | How Airbnb Tells You Will Enjoy Sunset Sailing in Barcelona? Recommendation in a Two-Sided Travel Marketplace. | Liang Wu, Mihajlo Grbovic |
| 2020 | Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction. | Hong Wen, Jing Zhang, Yuan Wang, Fuyu Lv, Wentian Bao, Quan Lin, Keping Yang |
| 2020 | Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models. | Mengxi Wei, Yifan He, Qiong Zhang |
| 2020 | Immersive Search: Using Virtual Reality to Examine How a Third Dimension Impacts the Searching Process. | Austin R. Ward, Robert G. Capra |
| 2020 | Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation. | Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma |
| 2020 | Evolutionary Product Description Generation: A Dynamic Fine-Tuning Approach Leveraging User Click Behavior. | Yongzhen Wang, Jian Wang, Heng Huang, Hongsong Li, Xiaozhong Liu |
| 2020 | Coding Electronic Health Records with Adversarial Reinforcement Path Generation. | Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jian-Yun Nie, Jun Ma, Maarten de Rijke |
| 2020 | CKAN: Collaborative Knowledge-aware Attentive Network for Recommender Systems. | Ze Wang, Guangyan Lin, Huobin Tan, Qinghong Chen, Xiyang Liu |
| 2020 | Disentangled Graph Collaborative Filtering. | Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua |
| 2020 | KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. | Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy X. Huang |
| 2020 | Match²: A Matching over Matching Model for Similar Question Identification. | Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang |
| 2020 | Next-item Recommendation with Sequential Hypergraphs. | Jianling Wang, Kaize Ding, Liangjie Hong, Huan Liu, James Caverlee |
| 2020 | Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. | Wen Wang, Wei Zhang, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha |
| 2020 | Global Context Enhanced Graph Neural Networks for Session-based Recommendation. | Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xianling Mao, Minghui Qiu |
| 2020 | Learning Discriminative Joint Embeddings for Efficient Face and Voice Association. | Rui Wang, Xin Liu, Yiu-ming Cheung, Kai Cheng, Nannan Wang, Wentao Fan |
| 2020 | Data Poisoning Attacks against Differentially Private Recommender Systems. | Soumya Wadhwa, Saurabh Agrawal, Harsh Chaudhari, Deepthi Sharma, Kannan Achan |