经典模型： 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
深度学习： 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
经典模型+深度学习： 8. [Neural CF] Neural Collaborative Filtering (NUS 2017) 9. [DeepFM] DeepFM- A Factorization-Machine based Neural Network for CTR Prediction (HIT 2017)
知识图谱： 11. [DKN] DKN: Deep Knowledge-Aware Network for News Recommendation 12. [KGAT] KGAT: Knowledge Graph Attention Network for Recommendation
