CRS-Paper-List

In this repository, we summarise a paper list of works in conversational recommendation systems and their related areas.

• Contributed by Victor Li and collaboration is welcome.
• Our survey paper on holistic CRS has been accepted to the KaRS Workshop, RecSys 2023, Singapore.
• Please follow this link to view papers chronologically.

Content

1. Survey

2.Holistic CRS Models

2.1 Language Model-based Holistic CRS

2.2 Knowledge-enhanced Holitic CRS

2.3 External Guidance in Holistic CRS

3. Standard CRS Models

4. Resources

4.1 CRS Datasets

4.2 CRS Libraries

Survey papers

A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems 2023. Paper

Chuang Li, Hengchang Hu, Yan Zhang, Min-Yen Kan, Haizhou Li

Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems. 2020. Paper

Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang et al

A survey on conversational recommender systems. ACM, 2020. Paper

Dietmar Jannach, Ahtsham Manzoor, Wanling Cai, Li Chen

Advances and Challenges in Conversational Recommender Systems: A Survey. 2021. Paper

Gao Chongming, Wenqiang Lei, Xiangnan He, Maarten de Rijke, and Tat-Seng Chua.

Conversational Recommendation: Formulation, Methods, and Evaluation SIGIR, Tutorial, 2020. Slide

Wenqing Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua

LM-based Holitic CRS Methods

Towards Conversation Recommender Systems. 2018. Paper

Konstantina Christakopoulou, Filip Radlinski, Katja Hofmann

Conversational Recommender System. 2018, SIGIR. Paper

Yueming Sun, Yi Zhang

Towards Deep Conversational Recommendations. 2018 Paper

Raymond Li, Samira Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal

Deep conversational recommendation in travel. 2019 Paper

Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua

What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation. 2020 Paper

Gustavo Penha, Claudia Hauff

INSPIRED: Toward Sociable Recommendation Dialog Systems. 2020 Paper

Shirley Anugrah Hayati, Dongyeop Kang, Qingxiaoyang Zhu, Weiyan Shi, Zhou Yu

INSPIRED2: An Improved Dataset for Sociable Conversational Recommendation. 2022 Paper

Ahtsham Manzoor, Dietmar Jannach

A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems. 2022 Paper

Yang Deng, Wenxuan Zhang, Weiwen Xu, Wenqiang Lei, Tat-Seng Chua, Wai Lam

Zero-Shot Prompting for Implicit Intent Prediction and Recommendation with Commonsense Reasoning. 2023 Paper

Hui-Chi Kuo, Yun-Nung Chen

Conversational Recommender System. 2018, SIGIR. Paper

Yueming Sun, Yi Zhang

Knowledge-enhanced Holistic CRS Models

LATTE: A Framework for Learning Item-Features to Make a Domain-Expert for Effective Conversational Recommendation 2023 Paper

Taeho Kim, Juwon Yu, Won-Yong Shin, Hyunyoung Lee, Ji-hui Im, Sang-Wook Kim

Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. 2022 Paper

Xiaolei Wang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao

TREA: Tree-structure Reasoning Schema for Conversational Recommendation. 2023 Paper

Wendi Li, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Ye Yuan, Wenfeng Xie, Dangyang Chen

Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. 2022 Paper

Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren

Towards Knowledge-Based Recommender Dialog System. ACL, 2019. Paper

Qibin Chen, Junyang Lin et al

Improving conversational recommender systems via knowledge graph-based semantic fusion. 2020 paper

Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu

KECRS: Towards Knowledge-Enriched Conversational Recommendation System. 2021 Paper

Tong Zhang, Yong Liu, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao

RevCore: Review-augmented Conversational Recommendation. 2021 Paper

Yu Lu, Junwei Bao, Yan Song, Zichen Ma, Shuguang Cui, Youzheng Wu, Xiaodong He

Variational Reasoning about User Preferences for Conversational Recommendation. 2022 Paper

Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren

CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs. 2021 Paper

Jinfeng Zhou, Bo Wang, Ruifang He, Yuexian Hou

RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. 2021 Paper

Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang

Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation. 2021 Paper

Yu Li, Baolin Peng, Yelong Shen, Yi Mao, Lars Liden, Zhou Yu, Jianfeng Gao

Target-guided Knowledge-aware Recommendation Dialogue System: An Empirical Investigation. 2021 Paper

Dongding Lin1, Jian Wang1 and Wenjie Li1

Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue. 2019 Paper

Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul Crook, Y-Lan Boureau, Jason Weston

Towards Explainable Conversational Recommendation ICJAI, 2020. Paper

Zhongxia Chen, Xiting Wang et al

CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation. 2021 Paper

Wenchang Ma, Ryuichi Takanobu, Minlie Huang

OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs. 2019 Paper

Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba

Learning Neural Templates for Recommender Dialogue System. 2021 Paper

Zujie Liang, Huang Hu, Can Xu, Jian Miao, Yingying He, Yining Chen, Xiubo Geng, Fan Liang, Daxin Jiang

External Guidance in Holistic CRS Methods

Towards Topic-Guided Conversational Recommender System. 2020 paper

Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen

Towards Conversational Recommendation over Multi-Type Dialogs. 2020 Paper

Zeming Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu

C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. 2022 Paper

Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu

Improving Conversational Recommender System via Contextual and Time-Aware Modeling with Less Domain-Specific Knowledge. 2022 Paper

Lingzhi Wang, Shafiq Joty, Wei Gao, Xingshan Zeng, Kam-Fai Wong

User-Centric Conversational Recommendation with Multi-Aspect User Modeling. 2022 Paper

Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He

Graph-Grounded Goal Planning for Conversational Recommendation. 2022 Paper

Zeming Liu; Ding Zhou; Hao Liu; Haifeng Wang; Zheng-Yu Niu; Hua Wu; Wanxiang Che

Modeling Global and Local Interactions for Online Conversation Recommendation. 2021 Paper

Xingshan Zeng, Jing Li, Lingzhi Wang, Kam-Fai Wong

Dynamic Online Conversation Recommendation. 2020 Paper

Xingshan Zeng, Jing Li, Lu Wang, Zhiming Mao, Kam-Fai Wong

Category Aware Explainable Conversational Recommendation. 2021 Paper

Nikolaos Kondylidis, Jie Zou, Evangelos Kanoulas

Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. 2022 Paper

Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, Cheng Long

Topic-guided conversational recommender in multiple domains. 2020 Paper

Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua

User-memory reasoning for conversational Recommendation. 2020 Paper

Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Bing Liu, Philip S. Yu

Improving Conversational Recommendation Systems’ Quality with Context-Aware Item Meta-Information. 2021 Paper

Bowen Yang, Cong Han, Yu Li, Lei Zuo, Zhou Yu

Aligning Recommendation and Conversation via Dual Imitation. 2022 Paper

Jinfeng Zhou, Bo Wang, Minlie Huang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou

"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems. 2021 Paper

Victor S. Bursztyn1, Jennifer Healey2, Nedim Lipka2, Eunyee Koh2, Doug Downey1,3, and Larry Birnbaum1

Evaluating Conversational Recommender Systems via User Simulation ACM, 2020. Paper

Shuo Zhang and Krisztian Balog

Simulation-based CRS Models

Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems ACM, 2020. Paper

Wenqiang Lei, Xiangnan He, Yisong Miao et al

Interactive Path Reasoning on Graph for Conversational Recommendation ACM, 2020. Paper

Wenqiang Lei, Gangyi Zhang, Xiangnan He and Yisong Miao et al

Towards Conversational Search and Recommendation: System Ask, User Respond CIKM, 2018. Paper

Zhang, Yongfeng and Chen, Xu et al

User Memory Reasoning for Conversational Recommendation ICCL, 2020. Paper

Hu Xu, Seungwhan Moon, Honglei Liu et al

Dynamic Online Conversation Recommendaiton ACL, 2020. Paper

Zeng, Xingshan and Li, Jing et al

Preference Elicitation Strategy for Conversational Recommender System ACM, 2019. Paper

Bilih Priyogi

Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Contex. AAAI, 2019. Paper

Yichi Zhang, Zhijian Ou and Zhou Yu

Q&R: A Two-Stage Approach toward Interactive Recommendation KDD, 2018. Paper

Konstantina Christakopoulou, Alex Beutel, Rui Li, Sagar Jain, Ed H. Chi

Resources

CRS Datasets

Restraurant review critique data: <"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems> Source

INSPIRED movie dataset: <INSPIRED: Toward Sociable Recommendation Dialog Systems>Source

GoRecDial Source

ReDial Source

DuRecDial

CRS Libraries

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS)Source

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and can work with PyTorch.Source