/CRSpapers

Conversational recommender systems

CRSpapers

This repo contains conversational recommender system papers.

[01-Surveys]

  • [arXiv 2020] A Survey on Conversational Recommender Systems. Dietmar Jannach, Ahtsham Manzoor, Wanling Cai & Li Chen [pdf]
  • [arXiv 2020] Advances and Challenges in Conversational Recommender Systems: A Survey. Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke & Tat-Seng Chua [pdf] [slide]
  • [arXiv 2021] Deep Conversational Recommender System:A New Frontier for Goal-Oriented Dialogue Systems. Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Munazza Zaib, Nguyen H. Tran, Lina Yao & Nguyen Lu Dang Khoa [pdf]

[02-Regular papers]

  • [ACL 2021] You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational Interactions. S Volokhin, J Ho，O Rokhlenko, E Agichtein [pdf] [video]
Click to expand

  • Contributions:

    • Development of a public conversational dataset MovieSent [link]
    • A new conversational recommendation method ConvExtr:
      • Estimates user's sentiment towards first 2 movies.
      • Uses External dataset of reviwes to predict user score towards the 3rd movie.
  • [arxiv 2021] CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen [pdf] [toolkit]
  • [CIKM 2020] Leveraging Historical Interaction Data for Improving Conversational Recommender System. Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang and Ji-Rong Wen [pdf] Sequential recommendation
  • [Resys 2021] Large-scale Interactive Conversational Recommendation System using Actor-Critic Framework. Ali Montazeralghaem, James Allan & Philip S. Thomas [pdf] Actor-Critic
  • [SIGIR 2021] Comparison-based Conversational Recommender System with Relative Bandit Feedback. Zhihui Xie，Tong Yu，Canzhe Zhao，Shuai Li. [pdf]

RL-based CRS

  • [SIGIR 2018] Conversational Recommender System. Yueming Sun, Yi Zhang. [pdf]
  • [WSDM 2020] Estimation–Action–Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua. [pdf] [code]
  • [TOIS 2021] Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users. Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, and Tat-seng Chua [pdf] Thompson sampling
  • [SIGIR 2021] Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. Yang Deng, Yaliang Li, Fei Sun, Bolin Ding & Wai Lam. [pdf]

Explainable/Reasoning CRS

  • [COLING 2020] User Memory Reasoning for Conversational Recommendation. Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Bing Liu, Philip S. Yu [pdf]
  • [arxiv 2020] NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions [pdf] [dataset] This paper builds a user-centric dialogue system for conversational recommendation.(5.1k dialogues, 26k turns)
  • [IJCAI 2020] Towards Explainable Conversational Recommendation. Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana,Akshay Soni, Xiang Ao & Enhong Chen [pdf]
  • [SIGIR 2021] HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation. Zuohui Fu, Yikun Xian, Yaxin Zhu, Shuyuan Xu, Zelong Li, Gerard de Melo and Yongfeng Zhang. [pdf] [dataset]
  • [CIKM 2021] Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems. Zuohui Fu, Yikun Xian, Shijie Geng, Gerard de Melo and Yongfeng Zhang.
  • [EMNLP 2021] CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation. Ryuichi Takanobu, Wenchang Ma* and Minlie Huang. [pdf] [code]

Knowledge-based CRS

  • [EMNLP 2019] Towards Knowledge-Based Recommender Dialog System. Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang [pdf] [code] Dbpedia RGCN
  • [SIGIR 2021] Learning to Ask Appropriate Questions in Conversational Recommendation. Xuhui Ren，Hongzhi Yin，Tong Chen，Hao Wang，Kai Zheng. [pdf] [code] TransH
  • [WSDM 2021] Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation. Kerui Xu, Jingxuan Yang, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen [pdf] [code]

Human-computer Interaction

  • [CHI 2021] Developing a Conversational Recommendation System for Navigating Limited Options. [pdf]

Other

  • [TKDE 2020] Deep Conversational Recommender in Travel. Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang and Tat-Seng Chua [pdf]

[03-Video material]

  • Web, IR and NLP Public Reading Group. Min-Yen Kan [video] [group]

[04-Conference tutorial]

  • [RecSys 2020, WSDM 2021, IUI 2021] Tutorial on Conversational Recommendation Systems. Yongfeng Zhang [website]