2018年 10篇经典的推荐系统文章

Reinforcement Learning based Recommender System using Biclustering Technique;

Learning Continuous User Representations through Hybrid Filtering with doc2vec;

Deep Reinforcement Learning for List-wise Recommendations;

Leveraging Long and Short-term Information in Content-aware Movie Recommendation;

Deep Collaborative Autoencoder for Recommender Systems: A Unified Framework for Explicit and Implicit Feedback;

Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works;

A Context-Aware User-Item Representation Learning for Item Recommendation;

Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time;

Recommender Systems with Random Walks: A Survey;

Deep Learning Based Recommender System: a Survey and New Perspectives;

Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios;

A Deep Multimodal Approach for Cold-start Music Recommendation

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