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| 2020 | Temporal Context-Aware Representation Learning for Question Routing. | Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen |
| 2020 | Learning from Heterogeneous Networks: Methods and Applications. | Chuxu Zhang |
| 2020 | Learning a Joint Search and Recommendation Model from User-Item Interactions. | Hamed Zamani, W. Bruce Croft |
| 2020 | Veridical Data Science. | Bin Yu |
| 2020 | Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference. | Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon |
| 2020 | Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval. | Andrew Yates, Siddhant Arora, Xinyu Zhang, Wei Yang, Kevin Martin Jose, Jimmy Lin |
| 2020 | Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. | Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han |
| 2020 | Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System. | Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang |
| 2020 | Product Knowledge Graph Embedding for E-commerce. | Da Xu, Chuanwei Ruan, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2020 | Knowledge-aware Complementary Product Representation Learning. | Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2020 | PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems. | Zhiyong Wu, Ben Kao, Tien-Hsuan Wu, Pengcheng Yin, Qun Liu |
| 2020 | Metrics, User Models, and Satisfaction. | Alfan Farizki Wicaksono, Alistair Moffat |
| 2020 | VISION-KG: Topic-centric Visualization System for Summarizing Knowledge Graph. | Jiaqi Wei, Shuo Han, Lei Zou |
| 2020 | Addressing Marketing Bias in Product Recommendations. | Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley |
| 2020 | User Recommendation in Content Curation Platforms. | Jianling Wang, Ziwei Zhu, James Caverlee |
| 2020 | Deep Learning for Anomaly Detection. | Ruoying Wang, Kexin Nie, Tie Wang, Yang Yang, Bo Long |
| 2020 | Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce. | Jianling Wang, Raphael Louca, Diane Hu, Caitlin Cellier, James Caverlee, Liangjie Hong |
| 2020 | Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. | Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee |
| 2020 | Learning and Reasoning on Graph for Recommendation. | Xiang Wang, Xiangnan He, Tat-Seng Chua |
| 2020 | Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. | Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra |
| 2020 | HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems. | Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li |
| 2020 | Perfectly Privacy-Preserving AI What Is It and How Do We Achieve It? | Patricia Thaine, Gerald Penn |
| 2020 | Perfectly Privacy-Preserving AI What Is It and How Do We Achieve It? | Patricia Thaine, Gerald Penn |
| 2020 | Healthcare NER Models Using Language Model Pretraining. | Amogh Kamat Tarcar, Aashis Tiwari, Dattaraj Rao, Vineet Naique Dhaimodker, Penjo Rebelo, Rahul Desai |