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EmbSum: Leveraging the Summarization Capabilities of Large Language
  Models for Content-Based Recommendations

EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations

19 May 2024
Chiyu Zhang
Yifei Sun
Minghao Wu
Jun Chen
Jie Lei
Muhammad Abdul-Mageed
Rong Jin
Angli Liu
Ji Zhu
Sem Park
Ning Yao
Bo Long
    OffRL
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Papers citing "EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations"

3 / 3 papers shown
Title
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
Chengkai Huang
Hongtao Huang
Tong Yu
Kaige Xie
Junda Wu
Shuai Zhang
Julian McAuley
Dietmar Jannach
Lina Yao
LRM
AI4CE
29
0
0
23 Apr 2025
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
50
0
0
07 Mar 2025
Large Language Model Enhanced Recommender Systems: A Survey
Large Language Model Enhanced Recommender Systems: A Survey
Qiang Liu
Xiangyu Zhao
Yuhao Wang
Yansen Wang
Zijian Zhang
...
Maolin Wang
Pengyue Jia
Chong Chen
Wei Huang
Feng Tian
OffRL
82
0
0
18 Dec 2024
1