Lei Li

According to our database, Lei Li authored at least 17 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Personalized Prompt Learning for Explainable Recommendation.

Lei Li, Yongfeng Zhang, Li Chen

ACM Trans. Inf. Syst., October, 2023

On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance.

Lei Li, Yongfeng Zhang, Li Chen

ACM Trans. Intell. Syst. Technol., April, 2023

Large Language Models for Generative Recommendation: A Survey and Visionary Discussions.

Lei Li, Yongfeng Zhang, Dugang Liu, Li Chen

CoRR, 2023

Tutorial on Large Language Models for Recommendation.

Wenyue Hua, Lei Li, Shuyuan Xu, Li Chen, Yongfeng Zhang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Prompt Distillation for Efficient LLM-based Recommendation.

Lei Li, Yongfeng Zhang, Li Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Effects of Feature-Based Explanation and Its Output Modality on User Satisfaction With Service Recommender Systems.

Zhirun Zhang, Li Chen, Tonglin Jiang, Yutong Li, Lei Li

Frontiers Big Data, 2022

TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations.

Yongxin Ni, Ningxia Wang, Li Chen, Rui Chen, Lei Li

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Augmenting Legal Judgment Prediction with Contrastive Case Relations.

Dugang Liu, Weihao Du, Lei Li, Weike Pan, Zhong Ming

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Improving Personalized Explanation Generation through Visualization.

Shijie Geng, Zuohui Fu, Yingqiang Ge, Lei Li, Gerard de Melo, Yongfeng Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

CAESAR: context-aware explanation based on supervised attention for service recommendations.

Lei Li, Li Chen, Ruihai Dong

J. Intell. Inf. Syst., 2021

Learning to Explain Recommendations.

Lei Li, Yongfeng Zhang, Li Chen

CoRR, 2021

EXTRA: Explanation Ranking Datasets for Explainable Recommendation.

Lei Li, Yongfeng Zhang, Li Chen

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Personalized Transformer for Explainable Recommendation.

Lei Li, Yongfeng Zhang, Li Chen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Towards Controllable Explanation Generation for Recommender Systems via Neural Template.

Lei Li, Li Chen, Yongfeng Zhang

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Generate Neural Template Explanations for Recommendation.

Lei Li, Yongfeng Zhang, Li Chen

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Context-Aware Co-attention Neural Network for Service Recommendations.

Lei Li, Ruihai Dong, Li Chen

Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

2018

RLT: Residual-Loop Training in Collaborative Filtering for Combining Factorization and Global-Local Neighborhood.

Lei Li, Weike Pan, Li Chen, Zhong Ming

Proceedings of the Web Services - ICWS 2018, 2018