| Towards understanding and mitigating unintended biases in language model-driven conversational recommendation T Shen, J Li, MR Bouadjenek, Z Mai, S Sanner Information Processing & Management 60 (1), 103139, 2023 | 17 | 2023 |
| Mitigating the filter bubble while maintaining relevance: Targeted diversification with VAE-based recommender systems Z Gao, T Shen, Z Mai, MR Bouadjenek, I Waller, A Anderson, R Bodkin, ... Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 12 | 2022 |
| Bayesian critiquing with keyphrase activation vectors for VAE-based recommender systems H Yang, T Shen, S Sanner Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 9 | 2021 |
| Unintended Bias in Language Model-driven Conversational Recommendation T Shen, J Li, MR Bouadjenek, Z Mai, S Sanner arXiv preprint arXiv:2201.06224, 2022 | 6 | 2022 |
| Distributional contrastive embedding for clarification-based conversational critiquing T Shen, Z Mai, G Wu, S Sanner Proceedings of the ACM Web Conference 2022, 2422-2432, 2022 | 3 | 2022 |
| Within-basket Recommendation via Neural Pattern Associator K Luo, T Shen, L Yao, G Wu, A Liblong, I Fehervari, R An, J Ahmed, ... arXiv preprint arXiv:2401.16433, 2024 | | 2024 |
| Novel Problems and Challenges in Language-based Conversational Recommender Systems T Shen University of Toronto (Canada), 2022 | | 2022 |
Scott SannerUniversity of TorontoVerified email at mie.utoronto.ca
