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Recommender systems are essential components of many online platforms, yet traditional approaches still struggle with understanding complex user preferences and providing explainable recommendations.
Collaborative filtering for implicit feedback datasets
Yifan Hu, Yehuda Koren, and Chris Volinsky · 2008
Earlier work this paper cites.
Second workshop on information heterogeneity and fusion in recommender systems (hetrec2011)
Iván Cantador, Peter Brusilovsky, and Tsvi Kuflik · 2011
Earlier work this paper cites.
The movielens datasets: History and context
F Maxwell Harper and Joseph A Konstan · 2015
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Self-attentive sequential recommendation
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Earlier work this paper cites.
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Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, and Chris Pal · 2018
Earlier work this paper cites.
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Earlier work this paper cites.
Interactive path reasoning on graph for conversational recommendation
Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, and Tat-Seng Chua · 2020
Earlier work this paper cites.
A survey on conversational recommender systems
Dietmar Jannach, Ahtsham Manzoor, Wanling Cai, and Li Chen · 2021
Earlier work this paper cites.
A survey on accuracy-oriented neural recommendation: From collaborative filtering to information-rich recommendation
Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, and Meng Wang · 2022
Earlier work this paper cites.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Earlier work this paper cites.
Tallrec: An effective and efficient tuning framework to align large language model with recommendation
Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, and Xiangnan He · 2023
Earlier work this paper cites.
Leveraging large language models in conversational recommender systems
Luke Friedman, Sameer Ahuja, David Allen, Zhenning Tan, Hakim Sidahmed, Changbo Long, Jun Xie, Gabriel Schubiner, Ajay Patel, et al · 2023
Earlier work this paper cites.
Large language models as zero-shot conversational recommenders
Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, and Julian McAuley · 2023
Earlier work this paper cites.
Recommender ai agent: Integrating large language models for interactive recommendations
Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, and Xing Xie · 2023
Earlier work this paper cites.
Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein · 2023
Earlier work this paper cites.
Gorilla: Large language model connected with massive apis
Shishir G Patil, Tianjun Zhang, Xin Wang, and Joseph E Gonzalez · 2023
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Toolformer: Language models can teach themselves to use tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom · 2023
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User behavior simulation with large language model based agents
Lei Wang, Jingsen Zhang, Hao Yang, Zhiyuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, et al · 2023
Cited alongside, same era.
Drdt: Dynamic reflection with divergent thinking for llm-based sequential recommendation
Yu Wang, Zhiwei Liu, Jianguo Zhang, Weiran Yao, Shelby Heinecke, and Philip S Yu · 2023
Cited alongside, same era.
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Rah! recsys–assistant–human: A human-centered recommendation framework with llm agents
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Personalized recommendation systems using multimodal, autonomous, multi agent systems
Param Thakkar and Anushka Yadav · 2024
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Personalized recommendation systems using multimodal, autonomous, multi agent systems
Param Thakkar and Anushka Yadav · 2024
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A survey on large language model based autonomous agents
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Later among the works it cites.
Recmind: Large language model powered agent for recommendation
Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Yanbin Lu, Xiaojiang Huang, and Yingzhen Yang · 2024
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Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R Narasimhan, and Yuan Cao · 2023
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Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang, and Even Oldridge · 2023
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Collm: Integrating collaborative embeddings into large language models for recommendation
Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, and Xiangnan He · 2023
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Flow: A feedback loop framework for simultaneously enhancing recommendation and user agents
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An llm-based recommender system environment
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A multi-agent conversational recommender system
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Knowledge graph enhanced language agents for recommendation
Taicheng Guo, Chaochun Liu, Hai Wang, Varun Mannam, Fang Wang, Xin Chen, Xiangliang Zhang, and Chandan K Reddy · 2024
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Large language models are zero-shot rankers for recommender systems
Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian McAuley, and Wayne Xin Zhao · 2024
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Macrec: A multi-agent collaboration framework for recommendation
Zhefan Wang, Yuanqing Yu, Wendi Zheng, Weizhi Ma, and Min Zhang · 2024
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Evaluating large language models as generative user simulators for conversational recommendation
Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, and Julian McAuley · 2024
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Automated interactive domain-specific conversational agents that understand human dialogs
Yankai Zeng, Abhiramon Rajasekharan, Parth Padalkar, Kinjal Basu, Joaquín Arias, and Gopal Gupta · 2024
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On generative agents in recommendation
An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang, and Tat-Seng Chua · 2024
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Prospect personalized recommendation on large language model-based agent platform
Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, and Tat-Seng Chua · 2024
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Agentcf: Collaborative learning with autonomous language agents for recommender systems
Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian McAuley, Wayne Xin Zhao, Leyu Lin, and Ji-Rong Wen · 2024
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Llm-powered user simulator for recommender system
Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, and Peng Jiang · 2024
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Let me do it for you: Towards llm empowered recommendation via tool learning
Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, and Maarten De Rijke · 2024
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Adapting large language models by integrating collaborative semantics for recommendation
Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, and Ji-Rong Wen · 2024
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Lixi Zhu, Xiaowen Huang, and Jitao Sang · 2024
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Recommender systems meet large language model agents: A survey
Xi Zhu, Yu Wang, Hang Gao, Wujiang Xu, Chen Wang, Zhiwei Liu, Kun Wang, Mingyu Jin, Linsey Pang, Qingsong Wen, et al · 2024
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