DeepMatch

DeepMatch is a deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.You can use any complex model with model.fit()and model.predict() .

Let's Get Started! or Run examples !

Models List

Model	Paper
FM	[ICDM 2010]Factorization Machines
DSSM	[CIKM 2013]Deep Structured Semantic Models for Web Search using Clickthrough Data
YoutubeDNN	[RecSys 2016]Deep Neural Networks for YouTube Recommendations
NCF	[WWW 2017]Neural Collaborative Filtering
SDM	[CIKM 2019]SDM: Sequential Deep Matching Model for Online Large-scale Recommender System
MIND	[CIKM 2019]Multi-interest network with dynamic routing for recommendation at Tmall
COMIREC	[KDD 2020]Controllable Multi-Interest Framework for Recommendation

Contributors(welcome to join us!)

​ ​ Shen Weichen ​ Alibaba Group ​

Wang Zhe ​ Baidu Inc. ​

​ ​ Chen Leihui ​ Alibaba Group ​

​ LeoCai ByteDance ​

​ ​ Li Yuan Tencent ​

​ ​ Yang Jieyu Ant Group ​

​ ​ Meng Yifan DeepCTR ​

DisscussionGroup

• Github Discussions
• Wechat Discussions

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