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Unlocking the Potential of Large Language Models for Explainable Recommendations
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Unlocking the Potential of Large Language Models for Explainable Recommendations

Yucong Luo
Mingyue Cheng
Hao Zhang
Junyu Lu
Qi Liu
Enhong Chen
    LRM
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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
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
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
62
0
0
17 Oct 2024

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