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modify some bugs
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hongleizhang committed May 7, 2020
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This repository provides a list of papers including comprehensive surveys, classical recommender system, social recommender system, deep learing-based recommender system, cold start problem in recommender system, hashing for recommender system, exploration and exploitation problem, explainability in recommender system as well as click through rate prediction for recommender system.

[**New!**] Add the new part of [**Knowledge Graph for RS**](https://github.com/hongleizhang/RSPapers/tree/master/11-Knowledge_Graph_for_RS).
- [**New!**] Add the new part of [**Review based RS**](https://github.com/hongleizhang/RSPapers/tree/master/12-Review_RS).

- [**New!**] Add the new part of [**Knowledge Graph for RS**](https://github.com/hongleizhang/RSPapers/tree/master/11-Knowledge_Graph_for_RS).

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**11-Knowledge Graph for RS:** knowledge graph, as the side information of behavior interaction matrix in recent years, which can effectively alleviate the problem of data sparsity and cold start, and can provide a reliable explanation for recommendation results.

**12-Review_RS:** some articles about review or text based recommendations.

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\*All papers are sorted by year for clarity.
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* Qingyu et al. **A Survey on Knowledge Graph-Based Recommender Systems.** arXiv, 2020.

* Yang et al. **Deep Learning on Knowledge Graph for Recommender System: A Survey.** arXiv, 2020.

* Wang et al. **Graph Learning Approaches to Recommender Systems: A Review.** arXiv, 2020.


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