| Deep Heterogeneous Autoencoders for Collaborative Filtering T Li, Y Ma, J Xu, B Stenger, C Liu, Y Hirate The 18th IEEE International Conference on Data Mining (ICDM), 1164-1169, 2018 | 38 | 2018 |
| Item Recommendation by Combining Relative and Absolute Feedback Data S Kalloori, T Li, F Ricci The 42nd International ACM SIGIR Conference on Research and Development in …, 2019 | 7 | 2019 |
| Learning Classifiers on Positive and Unlabeled Data with Policy Gradient T Li, CC Wang, Y Ma, P Ortal, Q Zhao, B Stenger, Y Hirate The 19th IEEE International Conference on Data Mining (ICDM), 309-408, 2019 | 7 | 2019 |
| Neural representations in hybrid recommender systems: Prediction versus regularization R Raziperchikolaei, T Li, Y Chung Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 3 | 2021 |
| Learning to Profile: User Meta-Profile Network for Few-Shot Learning H Gong, Q Zhao, T Li, D Cho, DK Nguyen The 29th ACM International Conference on Information & Knowledge Management …, 2020 | 3 | 2020 |
| UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing Q Zhao, T Li, M Du, Y Jiang, Q Sun, Z Wang, H Liu, H Xu The 39th IEEEInternational Conference on Data Engineering (ICDE), 3309-3321, 2023 | 1 | 2023 |
| UserBERT: Modeling Long- and Short-Term User Preferences via Self-Supervision T Li, A Cevahir, D Cho, H Gong, DK Nguyen, B Stenger The AAAI-22 Workshop on Human-Centric Self-Supervised Learning, 2022 | 1 | 2022 |
| Modeling user preferences using relative feedback for personalized recommendations S Kalloori, T Li The Thirty-Third International Flairs Conference, 2020 | 1 | 2020 |
Bjorn StengerRakutenVerified email at rakuten.com
