Papers with XRec
XRec: Large Language Models for Explainable Recommendation (2024.findings-emnlp)
Copied to clipboard
| Challenge: | Collaborative filtering (CF) is a widely adopted approach, but lacks the ability to provide explanations for the recommended items. |
| Approach: | They propose a model-agnostic framework that enables large language models to provide comprehensive explanations for user behaviors in recommender systems. |
| Outcome: | The proposed framework outperforms baseline approaches in explainable recommender systems. |