henruno/kg4recpapers

Knowledge-aware recommendation papers.

Must-read papers on KG/KG4Rec

Knowledge-aware recommendation papers.

Survey papers:

1. Personalized Entity Recommendation: A Heterogeneous Information Network Approach. Xiao, Yu, et al. WSDM, 2014. paper

2. Collaborative Knowledge Base Embedding for Recommender Systems. Fuzheng, Zhang, et al. KDD, 2016. paper

3. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems. Wang, Hongwei, et al. CIKM, 2018. paper

4. DKN: Deep knowledge-aware network for news recommendation. Wang, Hongwei, et al. WWW, 2018. paper

5. Improving sequential recommendation with knowledge-enhanced memory networks. Huang, Jin, et al. SIGIR, 2018. paper

6. Learning over Knowledge-Base Embeddings for Recommendation. Zhang, Yongfeng, et al. SIGIR, 2018. paper

7. Explainable Reasoning over Knowledge Graphs for Recommendation. Wang, Xiang, et al. AAAI, 2019. paper

8. Explainable Recommendation Through Attentive Multi-View Learning. Gao, Jingyue, et al. AAAI, 2019. paper

9. Taxonomy-aware multi-hop reasoning networks for sequential recommendation. Huang, Jin, et al. WSDM, 2019. paper

10. Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. Cao, Yixin, et al. WWW, 2019. paper

11. Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation. Wang, Hongwei, et al. WWW, 2019 paper

12. Adversarial Distillation for Efficient Recommendation with External Knowledge. Chen, Xu, et al. TOIS, 2018 paper

13. Knowledge Graph Convolutional Networks for Recommender Systems. Wang, Hongwei, et al. WWWW, 2019 paper

14. Dynamic Explainable Recommendation based on Neural Attentive Models. Chen, Xu, et al. AAAI, 2019 paper

15. Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization. Wang, Hongwei, et al. KDD, 2019 paper

16. KGAT: Knowledge Graph Attention Network for Recommendation. Wang Xiang, et al. KDD, 2019 paper code

Tutorials:

1. Challenges and Innovations in Building a Product Knowledge Graph. slides

2. 基于知识的推荐与可解释推荐. slides

Open Sources:

1. KGEebedding

Datasets:

1. KB4REC

Personal sites:

1. Hongwei Wang

2. Xing Xie

3. Yongfeng Zhang

4. Xiangnan HE

5. Unknown