Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer and Reinforcement Learning.
00_Embedding
- 2013 (Google) (NIPS) [Word2vec] Distributed Representations of Words and Phrases and their Compositionality
- 2014 (KDD) [DeepWalk] DeepWalk - online learning of social representations
- 2015 (WWW) [LINE] LINE Large-scale Information Network Embedding
- 2016 (KDD) [Node2vec] node2vec - Scalable Feature Learning for Networks
- 2017 (ICLR) [GCN] Semi-supervised Classification with Graph Convolutional Networks
- 2017 (KDD) [Struc2vec] struc2vec - Learning Node Representations from Structural Identity
- 2017 (NIPS) [GraphSAGE] Inductive Representation Learning on Large Graphs
- 2018 (Airbnb) (KDD) *[Airbnb Embedding] Real-time Personalization using Embeddings for Search Ranking at Airbnb
- 2018 (Alibaba) (KDD) *[Alibaba Embedding] Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
- 2018 (ICLR) [GAT] Graph Attention Networks
- 2018 (Pinterest) (KDD) *[PinSage] Graph Convolutional Neural Networks for Web-Scale Recommender Systems
- 2018 (WSDM) [NetMF] Network embedding as matrix factorization - Unifying deepwalk, line, pte, and node2vec
- 2019 (Alibaba) (KDD) *[GATNE] Representation Learning for Attributed Multiplex Heterogeneous Network
01_Matching
- 2013 (Microsoft) (CIKM) [DSSM] Learning deep structured semantic models for web search using clickthrough data
- 2015 (KDD) [Sceptre] Inferring Networks of Substitutable and Complementary Products
- 2016 (Google) (RecSys) **[Youtube DNN] Deep Neural Networks for YouTube Recommendations
- 2018 (KDD) *[TDM] (Alibaba) Learning Tree-based Deep Model for Recommender Systems
- 2018 (Pinterest) (KDD) *[PinSage] Graph Convolutional Neural Networks for Web-Scale Recommender Systems
- 2019 (Alibaba) (CIKM) **[MIND] Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
- 2019 (Alibaba) (CIKM) *[SDM] SDM - Sequential deep matching model for online large-scale recommender system
- 2019 (Alibaba) (NIPS) *[JTM] Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
- 2019 (Amazon) (KDD) Semantic Product Search
- 2019 (Baidu) (KDD) *[MOBIUS] MOBIUS - Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search
- 2019 (Google) (RecSys) **[Two-Tower] Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations
- 2019 (Google) (WSDM) *[Top-K Off-Policy] Top-K Off-Policy Correction for a REINFORCE Recommender System
- 2019 [Tencent] (KDD) A User-Centered Concept Mining System for Query and Document Understanding at Tencent
- 2020 (Alibaba) (ICML) [OTM] Learning Optimal Tree Models under Beam Search
- 2020 (Alibaba) (KDD) *[ComiRec] Controllable Multi-Interest Framework for Recommendation
- 2020 (Facebook) (KDD) **[Embedding for Facebook Search] Embedding-based Retrieval in Facebook Search
- 2020 (JD) (CIKM) *[DecGCN] Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items
- 2020 (JD) (SIGIR) [DPSR] Towards Personalized and Semantic Retrieval - An End-to-EndSolution for E-commerce Search via Embedding Learning
- 2020 (Microsoft) (Arxiv) TwinBERT - Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval
- 2021 (Alibaba) (KDD) * [MGDSPR] Embedding-based Product Retrieval in Taobao Search
- [2021 (Amazon) (KDD) Extreme Multi-label Learning for Semantic Matching in Product