This repository is used to record the papers that Zhou has read.

1 Recommendation System

1.1 Conversational Recommender System

1.1.1 Survey

(1) A Survey on Conversational Recommender Systems. arxiv 2020

1.1.2 Task-oriented CRS

(1) Conversational Recommender System. SIGIR 2018 [code] [Dataset:Yelp]

(2) Estimation–Action–Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. WSDM 2020 [code] [Dataset:Yelp]

(3) Towards Conversational Search and Recommendation. CIKM 2019 [Dataset:Amazon]

(4)Latent Linear Critiquing for Conversational Recommender Systems. WWW 2020 [code] [Dataset:Amazon]

1.1.3 Open-domain CRS

(1) Towards Deep Conversational Recommendations. NIPS 2018 [Dataset:REDIAL]

(2) Towards Knowledge-Based Recommender Dialog System. EMNLP 2019 [code] [Dataset:REDIAL]

(3) Improving Conversational Recommender Systems viaKnowledge Graph based Semantic Fusion. KDD 2020 [Dataset:REDIAL]

1.1.4 Goal-driven CRS

(1) Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue. EMNLP 2019 [Dataset:GoRecDial]

(2) Towards Conversational Recommendation over Multi-Type Dialogs. ACL 2020 [Dataset:DuRecDial]

(3) Interactive Path Reasoning on Graph for Conversational Recommendation. KDD 2020 [Dataset:Yelp]

1.1.4 Explainable CRS

(1) Towards Explainable Conversational Recommendation. IJCAL 2020 [Dataset:Yelp]

1.1.5 Related

(1) OpenDialKG:Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graph. ACL2019 [Dataset:OpenDialKG] [code]

1.2 Interactive Recommender System

(1) Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. SIGIR 2020 [Dataset: Movielens-20M, Book-Crossing]

1.3 Explainable Recommender System

(1) Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. SIGIR 2020 Dataset:[Amazon 5-core]

(2) Reinforcement Knowledge Graph Reasoning for Explainable Recommendation SIGIR 2019 [Dataset:Amazon] [code]