| 2021 | DataHunter: A System for Finding Datasets Based on Scientific Problem Descriptions. | Michael Frber, Ann-Kathrin Leisinger |
| 2021 | Group Match Prediction via Neural Networks (Long paper). | Sunghyun Kim, Minje Jang, Changho Suh |
| 2020 | Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning. | Ziwei Zhu, Yun He, Yin Zhang, James Caverlee |
| 2020 | TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations. | Jin Peng Zhou, Zhaoyue Cheng, Felipe Prez, Maksims Volkovs |
| 2020 | "You Really Get Me": Conversational AI Agents That Can Truly Understand and Help Users. | Michelle X. Zhou |
| 2020 | Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation. | Yin Zhang, Ziwei Zhu, Yun He, James Caverlee |
| 2020 | Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems. | Caojin Zhang, Yicun Liu, Yuanpu Xie, Sofia Ira Ktena, Alykhan Tejani, Akshay Gupta, Pranay Kumar Myana, Deepak Dilipkumar, Suvadip Paul, Ikuhiro Ihara, Prasang Upadhyaya, Ferenc Huszar, Wenzhe Shi |
| 2020 | Unbiased Ad Click Prediction for Position-aware Advertising Systems. | Bo-Wen Yuan, Yaxu Liu, Jui-Yang Hsia, Zhenhua Dong, Chih-Jen Lin |
| 2020 | Exploring Clustering of Bandits for Online Recommendation System. | Liu Yang, Bo Liu, Leyu Lin, Feng Xia, Kai Chen, Qiang Yang |
| 2020 | Workshop on Online Misinformation- and Harm-Aware Recommender Systems: Preface. | |
| 2020 | SSE-PT: Sequential Recommendation Via Personalized Transformer. | Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack |
| 2020 | Global and Local Differential Privacy for Collaborative Bandits. | Huazheng Wang, Qian Zhao, Qingyun Wu, Shubham Chopra, Abhinav Khaitan, Hongning Wang |
| 2020 | Causal Inference for Recommender Systems. | Yixin Wang, Dawen Liang, Laurent Charlin, David M. Blei |
| 2020 | AutoRec: An Automated Recommender System. | Ting-Hsiang Wang, Xia Hu, Haifeng Jin, Qingquan Song, Xiaotian Han, Zirui Liu |
| 2020 | Personalizing Item Recommendation via Price Understanding. | Soumya Wadhwa, Ashish Ranjan, Selene Xu, Jason H. D. Cho, Sushant Kumar, Kannan Achan |
| 2020 | Predicting Twitter Engagement With Deep Language Models. | Maksims Volkovs, Zhaoyue Cheng, Mathieu Ravaut, Hojin Yang, Kevin Shen, Jin Peng Zhou, Anson Wong, Saba Zuberi, Ivan Zhang, Nick Frosst, Helen Ngo, Carol Chen, Bharat Venkitesh, Stephen Gou, Aidan N. Gomez |
| 2020 | Evolutionary Approach in Recommendation Systems for Complex Structured Objects. | Bartolom Ortiz Viso |
| 2020 | ORSUM - Workshop on Online Recommender Systems and User Modeling. | Joo Vinagre, Alpio Mrio Jorge, Marie Al-Ghossein, Albert Bifet |
| 2020 | Interpretable Contextual Team-aware Item Recommendation: Application in Multiplayer Online Battle Arena Games. | Andrs Villa, Vladimir Araujo, Francisca Cattan, Denis Parra |
| 2020 | A Dynamic Human-in-the-loop Recommender System for Evidence-based Clinical Staging of COVID-19. | Yogatheesan Varatharajah, Haotian Chen, Andrew Trotter, Ravishankar K. Iyer |
| 2020 | Towards Multi-Language Recipe Personalisation and Recommendation. | Niall Twomey, Mikhail Fain, Andrey Ponikar, Nadine Sarraf |
| 2020 | Explainable Recommendation for Repeat Consumption. | Kosetsu Tsukuda, Masataka Goto |
| 2020 | Diversity Exposure in Social Recommender Systems: A Social Capital Theory Perspective. | Chun-Hua Tsai, Jukka Huhtamki, Thomas Olsson, Peter Brusilovsky |
| 2020 | User Feedback in Controllable and Explainable Social Recommender Systems: a Linguistic Analysis. | Chun-Hua Tsai, Peter Brusilovsky |
| 2020 | Balancing Relevance and Discovery to Inspire Customers in the IKEA App. | Balzs Tth, Sandhya Sachidanandan, Emil S. Jrgensen |