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 !
| 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 |
Contributors(welcome to join us!)
 Shen Weichen Alibaba Group |
 Wang Zhe Baidu Inc. |
 LeoCai ByteDance |
 Yang Jieyu Ant Group |
公众号：浅梦的学习笔记
|
微信：deepctrbot
|