Kezhong Lu

Explainable Recommendation with Personalized Review Retrieval and Aspect Learning

2023

Hao Cheng, Shuo Wang, Wensheng Lu, Wei Zhang, Mingyang Zhou, Kezhong Lu, Hao Liao. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.

Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning

2024 · ACM Transactions on Intelligent Systems and Technology

Explainable recommender systems ( ERS ) aim to enhance users’ trust in the systems by offering personalized recommendations with transparent explanations. This transparency provides users with a clear understanding of the rationale behind the recommendations, …