| Personalized prompt learning for explainable recommendation L Li, Y Zhang, L Chen ACM Transactions on Information Systems (TOIS) 41 (4), 1-26, 2023 | 189 | 2023 |
| Personalized Transformer for Explainable Recommendation L Li, Y Zhang, L Chen ACL (oral), 4947-4957, 2021 | 173 | 2021 |
| Generate neural template explanations for recommendation L Li, Y Zhang, L Chen CIKM, 755-764, 2020 | 160 | 2020 |
| Prompt Distillation for Efficient LLM-based Recommendation L Li, Y Zhang, L Chen CIKM, 1348-1357, 2023 | 109 | 2023 |
| Large language models for generative recommendation: A survey and visionary discussions L Li, Y Zhang, D Liu, L Chen COLING, 10146-10159, 2024 | 90 | 2024 |
| EXTRA: Explanation Ranking Datasets for Explainable Recommendation L Li, Y Zhang, L Chen SIGIR, 2463-2469, 2021 | 50 | 2021 |
| Tutorial on Large Language Models for Recommendation W Hua, L Li, S Xu, L Chen, Y Zhang RecSys, 1281-1283, 2023 | 39 | 2023 |
| Improving Personalized Explanation Generation through Visualization S Geng, Z Fu, Y Ge, L Li, G de Melo, Y Zhang ACL, 244-255, 2022 | 36 | 2022 |
| CAESAR: context-aware explanation based on supervised attention for service recommendations L Li, L Chen, R Dong Journal of Intelligent Information Systems 57 (1), 147-170, 2021 | 33 | 2021 |
| Augmenting Legal Judgment Prediction with Contrastive Case Relations D Liu, W Du, L Li, W Pan, Z Ming COLING, 2658-2667, 2022 | 14 | 2022 |
| Towards controllable explanation generation for recommender systems via neural template L Li, L Chen, Y Zhang WWW Demo, 198-202, 2020 | 14 | 2020 |
| On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance L Li, Y Zhang, L Chen ACM Transactions on Intelligent Systems and Technology (TIST) 14 (2), 1-24, 2023 | 13 | 2023 |
| Context-aware co-attention neural network for service recommendations L Li, R Dong, L Chen ICDE Workshop, 201-208, 2019 | 10 | 2019 |
| Effects of Feature-based Explanation and Its Output Modality on User Satisfaction with Service Recommender Systems Z Zhang, L Chen, T Jiang, Y Li, L Li Frontiers in Big Data 5, 1-17, 2022 | 8 | 2022 |
| TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations Y Ni, N Wang, L Chen, R Chen, L Li WISE, 553-563, 2022 | 1 | 2022 |
| RLT: Residual-Loop Training in Collaborative Filtering for Combining Factorization and Global-Local Neighborhood L Li, W Pan, L Chen, Z Ming ICWS, 326-336, 2018 | 1 | 2018 |
| EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models I Li, R Dong, L Li, L Chen RecSys, 1262-1264, 2024 | | 2024 |
| Natural Language Explanation for Recommendations and Beyond L Li Hong Kong Baptist University, 2022 | | 2022 |
Li ChenProfessor, Hong Kong Baptist UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα comp.hkbu.edu.hk