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Deep Interest Evolution Network for Click-Through Rate Prediction

2018-09-11 · Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai

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

📄 PDF Abstract BibTeX arXiv:1809.03672

Code (15)

mouna99/dien 공식 구현 tf
GitHub-HongweiZhang/prediction-flow pytorch
LionQYW/Dien----Deep-Interest-Evolution-Network-for-Click-Through-Rate-Prediction tf
PaddlePaddle/PaddleRec/tree/master/models/rank/dien paddle
StephenBo-China/DIEN tf
StephenBo-China/DIEN-DIN tf
StephenBo-China/recommendation_system_sort_model tf
UlionTse/mlgb pytorch
YafeiWu/DIEN tf
jiean001/models_m/tree/main/DIEN mindspore
kupuSs/DIEN-pipline tf
mindspore-ai/models/tree/master/research/recommend/DIEN mindspore
reczoo/FuxiCTR pytorch
shenweichen/DeepCTR tf
shenweichen/DeepCTR-Torch pytorch

Tasks

Click-Through Rate PredictionDeep LearningPrediction

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