Deep Interest Evolution Network for Click-Through Rate Prediction
2018-09-11Code Available0· sign in to hype
Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/mouna99/dienOfficialIn papertf★ 0
- github.com/shenweichen/DeepCTRtf★ 8,006
- github.com/shenweichen/DeepCTR-Torchpytorch★ 3,394
- github.com/reczoo/FuxiCTRpytorch★ 1,377
- github.com/UlionTse/mlgbpytorch★ 1,049
- github.com/StephenBo-China/DIENtf★ 0
- github.com/StephenBo-China/DIEN-DINtf★ 0
- github.com/kupuSs/DIEN-piplinetf★ 0
- github.com/GitHub-HongweiZhang/prediction-flowpytorch★ 0
- github.com/jiean001/models_m/tree/main/DIENmindspore★ 0
Abstract
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| Amazon Dataset | DIEN | AUC | 0.78 | — | Unverified |