CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

esmm model by tensorflow keras

multi task mode for esmm and mmoe

PyTorch implementation of Entire Space Multitask Model (ESMM)

基于ESMM、MMoE和deepFM的多目标模型

efatura, earşiv, esmm, emm, UBLTR Framework

主流推荐系统Rank算法的实现

A comprehensive toolkit package designed to help you accurately predict key metrics in commercial area

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFI…

A framework for large scale recommendation algorithms.