Unlocking the Potential of Large Language Models for Explainable
Recommendations

v1v2v3 (latest)

Unlocking the Potential of Large Language Models for Explainable Recommendations

25 December 2023

Mingyue Cheng

Qi Liu

Enhong Chen

ArXiv (abs)PDF HTML Github (4★)

Papers citing "Unlocking the Potential of Large Language Models for Explainable Recommendations"

3 / 3 papers shown

Title
Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders Qijiong Liu Jieming Zhu Lu Fan Kun Wang Hengchang Hu Wei Guo Yong Liu Xiao-Ming Wu 94 0 0 07 Mar 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis Lanling Xu Junjie Zhang Bingqian Li Jinpeng Wang Sheng Chen Wayne Xin Zhao Ji-Rong Wen 183 18 0 17 Jan 2025
Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation Ryotaro Shimizu Takashi Wada Yu Wang Johannes Kruse Sean O'Brien ... Yuya Yoshikawa Yuki Saito Fugee Tsung M. Goto Julian McAuley 65 0 0 17 Oct 2024