Follow
Lei Li
Title
Cited by
Cited by
Year
Personalized Transformer for Explainable Recommendation
L Li, Y Zhang, L Chen
ACL (oral), 4947-4957, 2021
1102021
Generate neural template explanations for recommendation
L Li, Y Zhang, L Chen
CIKM, 755-764, 2020
1082020
Personalized prompt learning for explainable recommendation
L Li, Y Zhang, L Chen
ACM Transactions on Information Systems (TOIS) 41 (4), 1-26, 2023
782023
EXTRA: Explanation Ranking Datasets for Explainable Recommendation
L Li, Y Zhang, L Chen
SIGIR, 2463-2469, 2021
372021
Large language models for generative recommendation: A survey and visionary discussions
L Li, Y Zhang, D Liu, L Chen
COLING, 2024
232024
Improving Personalized Explanation Generation through Visualization
S Geng, Z Fu, Y Ge, L Li, G de Melo, Y Zhang
ACL, 244-255, 2022
232022
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
202021
Prompt Distillation for Efficient LLM-based Recommendation
L Li, Y Zhang, L Chen
CIKM, 1348-1357, 2023
182023
Towards controllable explanation generation for recommender systems via neural template
L Li, L Chen, Y Zhang
WWW Demo, 198-202, 2020
112020
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
92023
Context-aware co-attention neural network for service recommendations
L Li, R Dong, L Chen
ICDE Workshop, 201-208, 2019
82019
Augmenting Legal Judgment Prediction with Contrastive Case Relations
D Liu, W Du, L Li, W Pan, Z Ming
COLING, 2658-2667, 2022
72022
Tutorial on Large Language Models for Recommendation
W Hua, L Li, S Xu, L Chen, Y Zhang
RecSys, 1281-1283, 2023
62023
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
32022
TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations
Y Ni, N Wang, L Chen, R Chen, L Li
WISE, 553-563, 2022
12022
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
12018
Natural Language Explanation for Recommendations and Beyond
L Li
Hong Kong Baptist University, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–17