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DeepMatch

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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

Contributors(welcome to join us!)

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Shen Weichen

Alibaba Group

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Wang Zhe

Jingdong Group

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LeoCai

ByteDance

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Yang Jieyu

Zhejiang University

DisscussionGroup & Related Projects

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