Conversational Recommendation System

This repository is used to collect the baseline of CRS, which is only used for scientific research, and at the same time modify the old version of the code to adapt to the latest version of the dependency.

Survey

• A survey on conversational recommender systems. arXiv(2020) [PDF]
• Advances and Challenges in Conversational Recommender Systems: A Survey. arXiv(2021) [PDF]

Recommendation-based CRS

1. Conversational Recommender System. SIGIR(2018) [PDF] [Dataset:Yelp]
2. Towards Conversational Search and Recommendation: System Ask, User Respond. CIKM(2018) [PDF] [Dataset:SAUR]
3. Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. WSDM(2020) [PDF] [Code] [Dataset:Yelp]
4. Interactive Path Reasoning on Graph for Conversational Recommendation. KDD(2020) [PDF] [Code]
5. Towards Conversational Search and Recommendation. CIKM(2019) [PDF] [Dataset:Amazon]
6. Latent Linear Critiquing for Conversational Recommender Systems. WWW(2020) [PDF] [Code] [Dataset:Amazon]
7. Towards Question-Based Recommender Systems. SIGIR(2020) [PDF] [Code]
8. Towards Explainable Conversational Recommendation. IJCAI(2020) [PDF]
9. Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. SIGIR(2021) [PDF] [Dataset:Yelp,LastFM,E-Commerce]
10. Learning to Ask Appropriate Questions in Conversational Recommendation. SIGIR(2021) [PDF]
11. Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation. WADM(2021) [PDF]
12. Comparison-based Conversational Recommender System with Relative Bandit Feedback. SIGIR(2021) [PDF] [Code]

Dialogue-based CRS

1. Towards Deep Conversational Recommendations. NeurIPS(2018) [PDF] [Dataset:REDIAL]
2. Deep Conversational Recommender in Travel. TKDE(2019) [PDF] [Code] [Dataset:MultiWOZ]
3. Towards Knowledge-Based Recommender Dialog System. EMNLP(2019) [PDF] [Code] [Dataset:REDIAL]
4. Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue. EMNLP(2019) [PDF] [Code] [Dataset: GoRecDial]
5. OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs. ACL(2019) [PDF] [Code] [Dataset: OpenDialKG]
6. Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion. KDD(2020) [PDF] [Code] [Dataset:REDIAL]
7. Towards Conversational Recommendation over Multi-Type Dialogs. ACL(2020) [PDF] [Code] [Dataset: DuRecDial]
8. Bridging the Gap between Conversational Reasoning and Interactive Recommendation. arXiv(2020) [PDF] [Code] [Dataset:REDIAL]
9. INSPIRED: Toward Sociable Recommendation Dialogue Systems. EMNLP(2020) [PDF] [Dataset:INSPIRED]
10. Towards Topic-Guided Conversational Recommender System. COLING(2020) [PDF] [Dataset:TG-ReDial]
11. RevCore: Review-augmented Conversational Recommendation. ACL Findings(2021) [PDF]
12. DEUX: An Attribute-Guided Framework for Sociable Recommendation Dialog Systems. Arxiv(2021) [PDF]
13. Learning Neural Templates for Recommender Dialogue System. EMNLP(2021) [PDF] [Code]
14. CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs. EMNLP(2021) [[PDF]]
15. DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation. EMNLP(2021) [PDF]
16. CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation. EMNLP(2021) [PDF]
17. KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple Subgoals. EMNLP(2021) [[PDF]]

Other

1. "It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems. EMNLP(2021) [PDF]

Toolkit

1. CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. arXiv(2021) [PDF] [Code]

TODO

v0.1

v0.2

continue!