Course note: Reading of Recommender systems

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在Personalization这门课上Prof给的阅读内容：Papers

Variational Autoencoders for Collaborative Filtering

Deep content-based music recommendation

Training and Testing of Recommender Systems on Data Missing Not at Random

Item-Based Collaborative Filtering Recommendation Algorithms

BPR: Bayesian Personalized Ranking from Implicit Feedback

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Does Wikipedia Information Help Netflix Predictions?

Field-aware Factorization Machines for CTR Prediction

Deep Learning based Recommender System: A Survey and New Perspectives

Google News Personalization: Scalable Online Collaborative Filtering

Wide & Deep Learning for Recommender Systems

A Hybrid Variational Autoencoder for Collaborative Filtering

Metadata Embeddings for User and Item Cold-start Recommendations