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Computational-advertising

Some papers or codes on Recommendation System, Computational Advertising, from 16.03.2019

I want to make this a unified structure that includes matching, ranking, strategy and joint_optimization.

More explanations of library files and model profiles can be found in Wechat public account: kylekzhang.

Support now：

1.Matching

2.Ranking

Fm: https://mp.weixin.qq.com/s/UQui8f2ZGLyGfa8VnnpmCQ

Ffm: https://mp.weixin.qq.com/s/UQui8f2ZGLyGfa8VnnpmCQ

Deep-fm: https://mp.weixin.qq.com/s/8b65T2qe4D1-UHEAnQ2zTg

Dcn: https://mp.weixin.qq.com/s/8b65T2qe4D1-UHEAnQ2zTg

Afm: https://mp.weixin.qq.com/s/UQui8f2ZGLyGfa8VnnpmCQ

Cin(xdeepfm)

Din

Autoint

CCPM: https://mp.weixin.qq.com/s/zyJZ_VjSeZ7E3rLYmKlgpg

FGCNN: https://mp.weixin.qq.com/s/zyJZ_VjSeZ7E3rLYmKlgpg

3.Strategy

4.Joint_optimization