CRS-Paper-List (A Survey of Holistic CRS)
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.
@InProceedings{li2023conversation,
title={A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems},
author={Li, Chuang and Hu, Hengchang and Zhang, Yan and Kan, Min-Yen and Li, Haizhou},
booktitle={KaRS Workshop at RecSys '23},
address = {Singapore},
year={2023},
URL = {https://arxiv.org/abs/2309.07682v1},
keywords = {Conversational Recommender Systems, interactive dialogue systems}
}
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
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
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
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
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
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
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