| 2019 | TopExNet: Entity-Centric Network Topic Exploration in News Streams. | Andreas Spitz, Satya Almasian, Michael Gertz |
| 2019 | Session-Based Social Recommendation via Dynamic Graph Attention Networks. | Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang |
| 2019 | EXS: Explainable Search Using Local Model Agnostic Interpretability. | Jaspreet Singh, Avishek Anand |
| 2019 | Beyond News Contents: The Role of Social Context for Fake News Detection. | Kai Shu, Suhang Wang, Huan Liu |
| 2019 | Visualizing Graph Differences from Social Media Streams. | Minjeong Shin, Dongwoo Kim, Jae Hee Lee, Umanga Bista, Lexing Xie |
| 2019 | Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory. | Tobias Schnabel, Paul N. Bennett, Thorsten Joachims |
| 2019 | Characterizing and Predicting Email Deferral Behavior. | Bahareh Sarrafzadeh, Ahmed Hassan Awadallah, Christopher H. Lin, Chia-Jung Lee, Milad Shokouhi, Susan T. Dumais |
| 2019 | Conducting Laboratory Experiments Properly with Statistical Tools: An Easy Hands-On Tutorial. | Tetsuya Sakai |
| 2019 | IDM-WSDM 2019: Workshop on Interactive Data Mining. | Alan Said, Denis Parra, Juhee Bae, Sepideh Pashami |
| 2019 | Sequential Variational Autoencoders for Collaborative Filtering. | Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi |
| 2019 | Reinforcement Learning to Rank. | Maarten de Rijke |
| 2019 | Investment Recommendation System for Low-Liquidity Online Peer to Peer Lending (P2PL) Marketplaces. | Ke Ren, Avinash Malik |
| 2019 | Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems. | Bashir Rastegarpanah, Krishna P. Gummadi, Mark Crovella |
| 2019 | Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. | Vineeth Rakesh, Suhang Wang, Kai Shu, Huan Liu |
| 2019 | Discovering Correlations between Sparse Features in Distant Supervision for Relation Extraction. | Jianfeng Qu, Dantong Ouyang, Wen Hua, Yuxin Ye, Xiaofang Zhou |
| 2019 | Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching. | Chen Qu, Feng Ji, Minghui Qiu, Liu Yang, Zhiyu Min, Haiqing Chen, Jun Huang, W. Bruce Croft |
| 2019 | Preference Elicitation Strategy for Conversational Recommender System. | Bilih Priyogi |
| 2019 | Alexa Everywhere: AI for Daily Convenience. | Rohit Prasad |
| 2019 | Interactive feature extraction for diagnostic trouble codes in predictive maintenance: A case study from automotive domain. | Parivash Pirasteh, Slawomir Nowaczyk, Sepideh Pashami, Magnus Lwenadler, Klas Thunberg, Henrik Ydreskog, Peter Berck |
| 2019 | Fast Dictionary-Based Compression for Inverted Indexes. | Giulio Ermanno Pibiri, Matthias Petri, Alistair Moffat |
| 2019 | Lightweight Lexical and Semantic Evidence for Detecting Classes Among Wikipedia Articles. | Marius Pasca, Travis Wolfe |
| 2019 | RecWalk: Nearly Uncoupled Random Walks for Top-N Recommendation. | Athanasios N. Nikolakopoulos, George Karypis |
| 2019 | VisCrime: A Crime Visualisation System for Crime Trajectory from Multi-Dimensional Sources. | Ahsan Morshed, Pei-Wei Tsai, Prem Prakash Jayaraman, Timos Sellis, Dimitrios Georgakopoulos, Sam Burke, Shane Joachim, Ming-Sheng Quah, Stefan Tsvetkov, Jason Liew, Corey Jenkins |
| 2019 | Bridging Models for Popularity Prediction on Social Media. | Swapnil Mishra |
| 2019 | Co-Embedding Attributed Networks. | Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang |