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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

Python Versions TensorFlow Versions PyPI Version GitHub Issues

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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!

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!)

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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

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  • wechat ID: deepctrbot

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