| How serendipity improves user satisfaction with recommendations? a large-scale user evaluation L Chen, Y Yang, N Wang, K Yang, Q Yuan The world wide web conference, 240-250, 2019 | 110 | 2019 |
| User bias in beyond-accuracy measurement of recommendation algorithms N Wang, L Chen Proceedings of the 15th ACM Conference on Recommender Systems, 133-142, 2021 | 18 | 2021 |
| The impacts of item features and user characteristics on users' perceived serendipity of recommendations N Wang, L Chen, Y Yang Proceedings of the 28th ACM Conference on User Modeling, Adaptation and …, 2020 | 16 | 2020 |
| How do item features and user characteristics affect users’ perceptions of recommendation serendipity? A cross-domain analysis N Wang, L Chen User Modeling and User-Adapted Interaction 33 (3), 727-765, 2023 | 5 | 2023 |
| User Validation of Recommendation Serendipity Metrics L Chen, N Wang, Y Yang, K Yang, Q Yuan arXiv preprint arXiv:1906.11431, 2019 | 2 | 2019 |
| Correction to: How do item features and user characteristics affect users’ perceptions of recommendation serendipity? A cross-domain analysis N Wang, L Chen User Modeling and User-Adapted Interaction 33 (3), 767-767, 2023 | 1 | 2023 |
| Serendipity-Oriented Recommendations for Improving User Satisfaction N Wang | 1 | 2023 |
| TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations Y Ni, N Wang, L Chen, R Chen, L Li International Conference on Web Information Systems Engineering, 553-563, 2022 | 1 | 2022 |
| How do item features and user characteristics affect users' perceptions of recommendation serendipity? A cross-domain analysis (Dec, 10.1007/s11257-022-09350-x, 2022) N Wang, L Chen USER MODELING AND USER-ADAPTED INTERACTION 33 (3), 767-767, 2023 | | 2023 |
Li ChenProfessor, Hong Kong Baptist University在 comp.hkbu.edu.hk 的电子邮件经过验证
