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 |
| 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 |
| COMIREC | [KDD 2020]Controllable Multi-Interest Framework for Recommendation |
Contributors(welcome to join us!)
 Shen Weichen Alibaba Group |
 Wang Zhe Baidu Inc. |
 Chen Leihui Alibaba Group |
 LeoCai ByteDance |
 Li Yuan Tencent |
 Yang Jieyu Ant Group |
 Meng Yifan DeepCTR |
DisscussionGroup
- Github Discussions
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| 公众号：浅梦学习笔记 | 微信：deepctrbot | 学习小组 加入 主题集合 |
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