Personalization & Recommender Systems Papers - Deep Learning

• Deep Learning Recommendation Model for personalization and recommendation systems - Facebook
• This paper describes how to use both dense and sparse features
• Open source pytorch and caffe2 implementations
• Neural Collaborative Filtering - NCF - Google
• Implementation of NCF
• Wide and deep learning for recommender systems - Google
• Deep Interest Evolution Network for Click through rate prediction - Alibaba
• Semantic Product Search from Amazon
• PyTorch-BigGraph - a large scale Graph Embedding System
• Recommending what video to watch next - a multi task ranking system - Youtube
• Sampling bias corrected neural modelling for large corpus item recommendations - Youtube
• Wavenet - a generative model for raw audio - Google, Deepmind
• Dynamic routing between capsules 
• Read about Facebook's novel CNN approach for language translation that achieves state-of-the-art accuracy at nine times the speed of RNN models.
• Explainable Deep Learning - a field guide for the uninitiated