DeepMatch is a deep matching model library for recommendations, advertising, and search. 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!
| 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 |
Contributors(welcome to join us!)
|
Shen Weichen Alibaba Group |
Wang Zhe Jingdong Group |
LeoCai ByteDance |
Yang Jieyu Zhejiang University |
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公众号：浅梦的学习笔记
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wechat ID: deepctrbot