https://github.com/chenghuige/mind

2020 MIND news recomendation first place solution
https://github.com/chenghuige/mind

Last synced: 3 months ago
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2020 MIND news recomendation first place solution

• Host: GitHub
• URL: https://github.com/chenghuige/mind
• Owner: chenghuige
• Created: 2020-09-12T08:48:23.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2021-03-10T11:21:10.000Z (over 3 years ago)
• Last Synced: 2024-06-24T05:53:24.626Z (5 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 38.4 MB
• Stars: 92
• Watchers: 3
• Forks: 26
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

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• StarryDivineSky - chenghuige/mind

README

        
# mind  

2020 MIND news recomendation first place solution  

I do not open source the code for the training loop using utils/melt gezi and husky so the code can not run, sorry(btw you can find some old code of melt from wenzheng/utils).  

You can get most model part code from projects/ai/mind/src/model.py   

training use sh ./train/v17/body.sh  

tfrecord generated in projects/ai/mind/prepare    

Code can run on both tf 1.14+ and tf 2.1+   

Newst result with AUC 0.7187(Current STOA of MIND 20210104) explained:  

我们在赛后刷新了MIND的最佳成绩(AUC 0.7187 20200104)并且在微信公众号介绍了所用的方法：  

https://mp.weixin.qq.com/s/7_lSvNrCc_hJPb6giN7OJQ  

Document of the MIND contest(AUC 0.7131):   

https://docs.google.com/presentation/d/1TCcv4QoCv132ubd78xMxegEM7qRqIIRnF2Wj2oIFP94/edit?usp=sharing     

BTW,目前榜一UniUM的成绩太强了，期待能学习。。。