DeepCTR’s Documentation — deepCTR 1.0.1 documentation

DeepCTR is a project that introduces classic CTR (Click Through Rate) prediction model and implements popular network designed for CTR prediction task. What’s more, we do a great number of experiments on open data and provide as benchmark. Dependency Introduction Traditional Models FM (Factorization Machines) FFM (Field-aware Factorization Machines) GBDT+LR Deep Models Overview FNN (Factorization-supported Neural Network) PNN (Product-based Neural Network) Wide & Deep DeepFM NFM (Neural FM) AFM (Attentional FM) DCN (Deep & Cross Network) DIN (Deep Interest Network) xDeepFM (eXtreme DeepFM) Benchmarks Contributors

1 mentions: @masashi162
Date: 2019/06/11 11:16

Referring Tweets

@masashi162 DeepCTRって、レコメンド業界の中ではどうなんだろうか? 個人的にはKerasライクに書けてすごい楽だし、xDeepFM とか最近のものまでカバーしてあるし使いやすいと思ったのだけど。