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**.
Project description
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!
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 |
Contributors(welcome to join us!)
Shen Weichen Alibaba Group |
Wang Zhe Jingdong Group |
LeoCai ByteDance |
Yang Jieyu Zhejiang University |
DisscussionGroup
Please follow our wechat to join group:
-
公众号:浅梦的学习笔记
-
wechat ID: deepctrbot
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