Metadata-Version: 2.1
Name: deepmatch
Version: 0.1.3
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: wcshen1994@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>Jingdong 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> Zhejiang University   </p>​
              </td>
            </tr>
          </tbody>
        </table>
        
        ## DisscussionGroup  
        
        Please follow our wechat to join group:  
        - 公众号：**浅梦的学习笔记**  
        - wechat ID: **deepctrbot**
        
          ![wechat](./docs/pics/weichennote.png)
        
Keywords: match,matching,recommendationdeep learning,tensorflow,tensor,keras
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
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Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
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Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
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Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
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Description-Content-Type: text/markdown
Provides-Extra: cpu
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