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Weichen Shen
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update qr code
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README.md

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@@ -45,9 +45,10 @@ Let's [**Get Started!**](https://deepctr-doc.readthedocs.io/en/latest/Quick-Star
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| Deep Session Interest Network | [IJCAI 2019][Deep Session Interest Network for Click-Through Rate Prediction ](https://arxiv.org/abs/1905.06482) |
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| FiBiNET | [RecSys 2019][FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction](https://arxiv.org/pdf/1905.09433.pdf) |
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## Disscussion Group
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Please follow our wechat to join group:
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## Disscussion Group
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Please follow our wechat to join group:
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- 公众号:**浅梦的学习笔记**
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- 微信ID: **deepctrbot**(注明来自deepctr项目)
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- QR code
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![wechat](./docs/pics/weichennote.png)
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docs/source/index.rst

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Welcome to DeepCTR's documentation!
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===================================
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|Downloads|_ |Stars|_ |Forks|_ |PyPii|_ |Issues|_ |Gitter|_
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|Downloads|_ |Stars|_ |Forks|_ |PyPii|_ |Issues|_ |Chat|_
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.. |Downloads| image:: https://pepy.tech/badge/deepctr
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.. _Downloads: https://pepy.tech/project/deepctr
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.. _Issues: https://github.com/shenweichen/deepctr/issues
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.. |Chat| image:: https://img.shields.io/badge/chat-wechat-brightgreen?style=flat
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.. _Gitter: ./#Disscussion-Group
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.. _Chat: ./#Disscussion-Group
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DeepCTR is a **Easy-to-use** , **Modular** and **Extendible** package of deep-learning based CTR models along with lots of core components layer which can be used to build your own custom model easily.It is compatible with **tensorflow 1.4+ and 2.0+**.You can use any complex model with ``model.fit()`` and ``model.predict()``.
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08/02/2019 : Now DeepCTR is compatible with tensorflow `1.14` and `2.0.0`. `Changelog <https://github.com/shenweichen/DeepCTR/releases/tag/v0.6.0>`_
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Disscussion Group
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-----
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image:: https://raw.githubusercontent.com/shenweichen/deepctr/master/docs/pics/weichennote.png?sanitize=true
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-----------------------
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- 公众号:**浅梦的学习笔记**
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- 微信ID: **deepctrbot**(注明来自deepctr项目)
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image:: https://raw.githubusercontent.com/shenweichen/DeepCTR/blob/master/docs/pics/weichennote.png
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.. toctree::
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:maxdepth: 2

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