pengyuange/deep_recommenders

Deep Recommenders Research

Deep Recommenders

Deep Recommenders主要用于自我学习和提升, 还希望能够帮助对推荐系统感兴趣的朋友和同学，共同进步～

由于本人水平有限，如有错误，还望指正～

框架参考：TensorFlow Recommenders

Experiments

Ranking

• FM [Code] _{Factorization Machines, Osaka, 2010}
• WDL _{Wide & Deep Learning for Recommender Systems, Google, DLRS, 2016}
• PNN _{Product-based Neural Networks for User Response Prediction, IEEE, 2016}
• FNN _{Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction, RayCloud, ECIR, 2016}
• DeepFM [Expr] _{DeepFM: A Factorization-Machine based Neural Network for CTR Prediction, Huawei, IJCAI, 2017}
• DCN [Code] _{Deep & Cross Network for Ad Click Predictions, Google, KDD, 2017}
• xDeepFM [Code] _{xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems, Microsoft, KDD, 2018}
• DIN [Code] _{Deep Interest Network for Click-Through Rate Prediction, Alibaba, KDD, 2018}
• DIEN _{Deep Interest Evolution Network for Click-Through Rate Prediction, Alibaba, AAAI, 2019}
• DLRM _{Deep Learning Recommendation Model for Personalization and Recommendation Systems, Facebook, 2019}

Retrieval

• DSSM _{Learning Deep Structured Semantic Models for Web Search using Clickthrough Data, Microsoft, CIKM, 2013}
• YoutubeNet _{Deep Neural Networks for YouTube Recommendations, Google, RecSys, 2016}
• SBC [Code] [Expr] _{Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations, Google, RecSys, 2019}
• EBR _{Embedding-based Retrieval in Facebook Search, Facebook, KDD, 2020}
• Item2Vec _{Item2Vec: Neural Item Embedding for Collaborative Filtering, Microsoft, MLSP, 2016}
• Airbnb _{Real-time Personalization using Embeddings for Search Ranking at Airbnb, Airbnb, KDD, 2018}
• DeepWalk _{DeepWalk: Online Learning of Social Representations, StonyBrook, KDD, 2014}
• EGES _{Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba, Alibaba, KDD, 2018}
• GCN [Code] [Expr] _{Semi-Supervised Classification with Graph Convolutional Networks, ICLR, 2017}
• GraphSAGE _{Inductive Representation Learning on Large Graphs, NIPS, 2017}
• PinSage _{Graph Convolutional Neural Networks for Web-Scale Recommender Systems, Pinterest, KDD, 2018}
• IntentGC _{IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation, Alibaba, KDD, 2019}
• GraphTR _{Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation, Tencent, CIKM, 2020}

NLP

• Word2Vec _{Distributed Representations of Words and Phrases and their Compositionality, Google, NIPS, 2013}

• Transformer [Code] [Expr] _{Attention Is All You Need, Google, NeurlPS, 2017}

• BERT _{BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, Google, NAACL, 2019}