Papers on recommender system
1.A review on deep learning for recommender systems: challenges and remedies
Explainable Recommendation: A Survey and New Perspectives 本文是对“可解释性推荐系统”相关以及最新研究的调研总结，内容包括问题定义、问题历史、解决方案、相关应用和未来方向。
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems code 在知识图谱上做推荐
Real-time Personalization using Embeddings for Search Ranking at Airbnb, KDD 2018.
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba 解决了图表示学习中稀疏性和冷启动问题，在电商 i2i 推荐上取得很好的效果
Sequential Recommendation with User Memory Networks, WSDM 2018
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation code
1.Next Item Recommendation with Self-Attention, 2018. papers
2.Metric Factorization: Recommendation beyond Matrix Factorization paper code
Collaborative Memory Network for Recommendation Systems paper code
Content-Based Citation Recommendation code 公布了一个公共数据集
STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation
Multi-Pointer Co-Attention Networks for Recommendation, KDD 2018
Deep Matrix Factorization Models for Recommender Systems
Evaluation of Session-based Recommendation Algorithms
Aesthetic-based Clothing Recommendation, WWW 18