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 |
MIND | [CIKM 2019]Multi-interest network with dynamic routing for recommendation at Tmall |
welcome to join us!)
Contributors(
![]() Shen Weichen Alibaba Group |
![]() Wang Zhe Jingdong Group |
![]() LeoCai ByteDance |
![]() Yang Jieyu Zhejiang University |
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