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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
COMIREC [KDD 2020]Controllable Multi-Interest Framework for Recommendation

Contributors(welcome to join us!)

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​ Shen Weichen ​

Alibaba Group

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Wang Zhe ​

Baidu Inc.

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​ Chen Leihui ​

Alibaba Group

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LeoCai

ByteDance

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​ Li Yuan

Tencent

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​ Yang Jieyu

Ant Group

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​ Meng Yifan

DeepCTR

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DisscussionGroup

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deepmatch's People

Contributors

shenweichen avatar leocai avatar eleanoryuyuyu avatar wangzhegeek avatar clhchtcjj avatar liyuan97 avatar zzszmyf avatar

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