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

Deeprec

A easy library for recommendation system or computational advertising

Deeprec Info

⭐ Stars 11
🔗 Source Code github.com
🕒 Last Update 9 months ago
🕒 Created 3 years ago
🐞 Open Issues 0
➗ Star-Issue Ratio Infinity
😎 Author End-the-cold-night