01. 程序化廣告交易中的點(diǎn)擊率預(yù)估
02. CTR預(yù)估中GBDT與LR融合方案
03. 淺談矩陣分解在推薦系統(tǒng)中的應(yīng)用
04. Factorization Machines
05. Factorization Machines 學(xué)習(xí)筆記(精)
06. Learning Recommender Systems with Adaptive Regularization
07. Field-aware Factorization Machines slide
08. Field-aware Factorization Machines for CTR Prediction
09. Deep Learning over Multi-Field Categorical Data: A Case Study on User Response Prediction (FNN)
10. Product-based Neural Networks for User Response Predictions (PNN)
11. Wide & Deep Learning for Recommender System(WDL)
12. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction(deepFM)
13. Deep & Cross Network for Ad Click Predictions(DCN)
14. LibRec 每周算法：DeepFM
15. Deep Interest Network for Click-Through Rate Prediction
深度學(xué)習(xí)在CTR中的應(yīng)用
從ctr預(yù)估問題看看f(x)設(shè)計(jì)—DNN篇
除了LR火欧，F(xiàn)M（FFM）方法，CTR預(yù)測還有那些方法，應(yīng)用較為廣泛？
張偉南博士個(gè)人主頁
