經典模型：
1.[CF] Empirical analysis of predictive algorithms for collaborative filtering
2.[FM] Factorization machines
3.[content-base] Content-based book recommending using learning for text categorization
深度學習：
4. [CNN] Personalized Deep Learning for Tag Recommendation
5. [RNN] Personal recommendation using deep recurrent neural networks in NetEase.
6. [Wide&Deep] Wide & Deep Learning for Recommender Systems (Google 2016)
7. [DIN] Deep Interest Network for Click-Through Rate Prediction
經典模型+深度學習：
8. [Neural CF] Neural Collaborative Filtering (NUS 2017)
9. [DeepFM] DeepFM- A Factorization-Machine based Neural Network for CTR Prediction (HIT 2017)
知識圖譜：
11. [DKN] DKN: Deep Knowledge-Aware Network for News Recommendation
12. [KGAT] KGAT: Knowledge Graph Attention Network for Recommendation