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Conversational Recommender System (CRS) interacts with users through natural language to understand their preferences and provide personalized recommendations in real-time.
Matrix factorization techniques for recommender systems
Yehuda Koren, Robert Bell, and Chris Volinsky · 2009
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Neural collaborative filtering
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua · 2017
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Conversational recommender system
Yueming Sun and Yi Zhang · 2018
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Towards deep conversational recommendations
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, and Chris Pal · 2018
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Towards knowledge-based recommender dialog system
Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, and Jie Tang · 2019
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Opendialkg: Explainable conversational reasoning with attention-based walks over knowledge graphs
Seungwhan Moon, Pararth Shah, Anuj Kumar, and Rajen Subba · 2019
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer · 2019
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Estimation-action-reflection: Towards deep interaction between conversational and recommender systems
Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, and Tat-Seng Chua · 2020
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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
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Improving conversational recommender systems via knowledge graph based semantic fusion
Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, and Jingsong Yu · 2020
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Advances and challenges in conversational recommender systems: A survey
Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, and Tat-Seng Chua · 2021
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Unified conversational recommendation policy learning via graph-based reinforcement learning
Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, and Wai Lam · 2021
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Knowledge graph-enhanced sampling for conversational recommendation system
Mengyuan Zhao, Xiaowen Huang, Lixi Zhu, Jitao Sang, and Jian Yu · 2022
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Barcor: Towards a unified framework for conversational recommendation systems
Ting-Chun Wang, Shang-Yu Su, and Yun-Nung Chen · 2022
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Towards unified conversational recommender systems via knowledge-enhanced prompt learning
Xiaolei Wang, Kun Zhou, Ji-Rong Wen, and Wayne Xin Zhao · 2022
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Chat-rec: Towards interactive and explainable llms-augmented recommender system
Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, and Jiawei Zhang · 2023
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Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, and Xiangnan He · 2023
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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 · 2023
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Large language models for generative recommendation: A survey and visionary discussions
Lei Li, Yongfeng Zhang, Dugang Liu, and Li Chen · 2023
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A survey of large language models
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Testing the general deductive reasoning capacity of large language models using ood examples
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The rise and potential of large language model based agents: A survey
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Uncovering chatgpt’s capabilities in recommender systems
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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
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Rethinking the evaluation for conversational recommendation in the era of large language models
Xiaolei Wang, Xinyu Tang, Wayne Xin Zhao, Jingyuan Wang, and Ji-Rong Wen · 2023
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Recagent: A novel simulation paradigm for recommender systems
Lei Wang, Jingsen Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, and Ji-Rong Wen · 2023
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On generative agents in recommendation
An Zhang, Leheng Sheng, Yuxin Chen, Hao Li, Yang Deng, Xiang Wang, and Tat-Seng Chua · 2023
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Recommender ai agent: Integrating large language models for interactive recommendations
Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, and Xing Xie · 2023
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