Conversational_Recommendation System research Papers (from top conf/journals).
This repo mainly collects some papers on the Conversational Recommendation System research from the top conference (e.g. KDD, CIKM and AAAI) and journals.
We will update the latest published papers from time to time...
| Title | Key contributions | Source | Chinese Blog |
|---|---|---|---|
| Advances and Challenges in Conversational Recommender Systems: A Survey | |||
| sigir'2020 |
| Title | Recommender | What to Ask | Agent Module | Source | Chinese Blog |
|---|---|---|---|---|---|
| Dynamic Critiquing | |||||
| Estimation–Action–Reflection: Towards Deep Interaction Between Conversational and Recommender Systems | KDD'2020 | jianshu | |||
| Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion | Graph-based embeddings for user-item matching | KG-enhanced response generation (generation-based method) | KG-based dialogue system | KDD'2020 | jianshu |
| Towards Question-based Recommender System | Matrix Factorization (online & offline) | What to Ask: descriptive item features | Question learning: Dir distribution | SIGIR'2020 | jianshu |
| Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning | SIGIR'2021 | jianshu | |||
| Learning to Ask Appropriate Questions in Conversational Recommendation | SIGIR'2021 | jianshu | |||
| HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation | SIGIR'2021 | ||||