用于推荐和广告的深度匹配模型库。训练模型和导出可用于ANN搜索的表示向量很容易。_Python_下载.zip

# DeepMatch [](https://pypi.org/project/deepmatch) [](https://pypi.org/project/deepmatch) [](https://pepy.tech/project/deepmatch) [](https://pypi.org/project/deepmatch) [](https://github.com/shenweichen/deepmatch/issues) <!-- [](https://github.com/shenweichen/DeepMatch/commits/master) --> [](https://deepmatch.readthedocs.io/)  [](https://codecov.io/gh/shenweichen/DeepMatch) [](https://www.codacy.com/gh/shenweichen/DeepMatch/dashboard?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=shenweichen/DeepMatch&amp;utm_campaign=Badge_Grade) [](https://github.com/shenweichen/DeepMatch#disscussiongroup) [](https://github.com/shenweichen/deepmatch/blob/master/LICENSE) 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!**](https://deepmatch.readthedocs.io/en/latest/Quick-Start.html) or [**Run examples**](./examples/colab_MovieLen1M_YoutubeDNN.ipynb) ! ## Models List | Model | Paper | | :------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------- | | FM | [ICDM 2010][Factorization Machines](https://www.researchgate.net/publication/220766482_Factorization_Machines) | | DSSM | [CIKM 2013][Deep Structured Semantic Models for Web Search using Clickthrough Data](https://www.microsoft.com/en-us/research/publication/learning-deep-structured-semantic-models-for-web-search-using-clickthrough-data/) | | YoutubeDNN | [RecSys 2016][Deep Neural Networks for YouTube Recommendations](https://www.researchgate.net/publication/307573656_Deep_Neural_Networks_for_YouTube_Recommendations) | | NCF | [WWW 2017][Neural Collaborative Filtering](https://arxiv.org/abs/1708.05031) | | SDM | [CIKM 2019][SDM: Sequential Deep Matching Model for Online Large-scale Recommender System](https://arxiv.org/abs/1909.00385) | | MIND | [CIKM 2019][Multi-interest network with dynamic routing for recommendation at Tmall](https://arxiv.org/pdf/1904.08030) | | COMIREC | [KDD 2020][Controllable Multi-Interest Framework for Recommendation](https://arxiv.org/pdf/2005.09347.pdf) | ## Contributors([welcome to join us!](./CONTRIBUTING.md)) <table border="0"> <tbody> <tr align="center" > <td> ​ <a href="https://github.com/shenweichen"><img width="70" height="70" src="https://github.com/shenweichen.png?s=40" alt="pic"></a><br> ​ <a href="https://github.com/shenweichen">Shen Weichen</a> ​ <p> Alibaba Group </p>​ </td> <td> <a href="https://github.com/wangzhegeek"><img width="70" height="70" src="https://github.com/wangzhegeek.png?s=40" alt="pic"></a><br> <a href="https://github.com/wangzhegeek">Wang Zhe</a> ​ <p>Baidu Inc. </p>​ </td> <td> ​ <a href="https://github.com/clhchtcjj"><img width="70" height="70" src="https://github.com/clhchtcjj.png?s=40" alt="pic"></a><br> ​ <a href="https://github.com/clhchtcjj">Chen Leihui</a> ​ <p> Alibaba Group </p>​ </td> <td> ​ <a href="https://github.com/LeoCai"><img width="70" height="70" src="https://github.com/LeoCai.png?s=40" alt="pic"></a><br> <a href="https://github.com/LeoCai">LeoCai</a> <p> ByteDance </p>​ </td> <td> ​ <a href="https://github.com/liyuan97"><img width="70" height="70" src="https://github.com/liyuan97.png?s=40" alt="pic"></a><br> ​ <a href="https://github.com/liyuan97">Li Yuan</a> <p> Tencent </p>​ </td> <td> ​ <a href="https://github.com/yangjieyu"><img width="70" height="70" src="https://github.com/yangjieyu.png?s=40" alt="pic"></a><br> ​ <a href="https://github.com/yangjieyu">Yang Jieyu</a> <p> Ant Group </p>​ </td> <td> ​ <a href="https://github.com/zzszmyf"><img width="70" height="70" src="https://github.com/zzszmyf.png?s=40" alt="pic"></a><br> ​ <a href="https://github.com/zzszmyf">Meng Yifan</a> <p> DeepCTR </p>​ </td> </tr> </tbody> </table> ## DisscussionGroup - [Github Discussions](https://github.com/shenweichen/DeepMatch/discussions) - Wechat Discussions |公众号：浅梦学习笔记|微信：deepctrbot|学习小组 [加入](https://t.zsxq.com/026UJEuzv) [主题集合](https://mp.weixin.qq.com/mp/appmsgalbum?__biz=MjM5MzY4NzE3MA==&action=getalbum&album_id=1361647041096843265&scene=126#wechat_redirect)| |:--:|:--:|:--:| | [](https://github.com/shenweichen/AlgoNotes)| [](https://github.com/shenweichen/AlgoNotes)|[](https://t.zsxq.com/026UJEuzv)|