Metadata-Version: 2.1
Name: deepmatch
Version: 0.3.0
Summary: 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**.
Home-page: https://github.com/shenweichen/deepmatch
Author: Weichen Shen
Author-email: weichenswc@163.com
License: Apache-2.0
Download-URL: https://github.com/shenweichen/deepmatch/tags
Description: # DeepMatch
        
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        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)  |
        
        ## 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/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)|
        |:--:|:--:|:--:|
        | [![公众号](./docs/pics/code.png)](https://github.com/shenweichen/AlgoNotes)| [![微信](./docs/pics/deepctrbot.png)](https://github.com/shenweichen/AlgoNotes)|[![学习小组](./docs/pics/planet_github.png)](https://t.zsxq.com/026UJEuzv)|
        
        
Keywords: match,matching,recommendationdeep learning,tensorflow,tensor,keras
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*
Description-Content-Type: text/markdown
Provides-Extra: gpu
Provides-Extra: cpu
