ctr_predict

some learning of ctr prediction

kaggle criteo competetion

比赛网址：https://www.kaggle.com/c/criteo-display-ad-challenge 数据集： http://criteolabs.wpengine.com/downloads/2014-kaggle-display-advertising-challenge-dataset/

1st：GBDT+FFM

3 Idiots' Approach for Display Advertising Challenge Code: https://github.com/guestwalk/kaggle-2014-criteo PPT: http://www.csie.ntu.edu.tw/~r01922136/kaggle-2014-criteo.pdf libffm工具，介绍：http://www.csie.ntu.edu.tw/~r01922136/libffm ，Code:https://github.com/guestwalk/libffm 深入FFM原理与实践(美团):http://tech.meituan.com/deep-understanding-of-ffm-principles-and-practices.html

2ed：Multiple models, polynomial learning and featuremasks.

https://github.com/songgc/display-advertising-challenge https://kaggle2.blob.core.windows.net/forum-message-attachments/55717/1636/Display-ad-challenge-Song.pdf

3rd:

https://github.com/juliandewit/kaggle_criteo

23th：GBDT+LR

http://blog.csdn.net/hero_fantao/article/details/42747281

29th:

http://mlwave.com/predicting-click-through-rates-with-online-machine-learning/

Click-Through Rate Prediction in Avazu

比赛网址：https://www.kaggle.com/c/avazu-ctr-prediction

1st: ffm

https://github.com/guestwalk/kaggle-avazu

TOP5

http://mech.math.msu.su/~efimov/files/ClickThroughRate2015.pdf

Some

https://github.com/breakhearts/ctr

谷歌的一篇预测广告点击率的论文： http://www.eecs.tufts.edu/~dsculley/papers/ad-click-prediction.pdf https://github.com/BladeMasterCoder/KaggleCTR

Avito Context Ad Clicks

Winning solution to the Avito CTR competition https://www.kaggle.com/c/avito-context-ad-clicks

Others

deep-ctr https://github.com/wnzhang/deep-ctr

https://github.com/owenzhang/kaggle-avito