A simple package about multi-task recommendation
-
Updated
May 12, 2021 - Python
A simple package about multi-task recommendation
multi task mode for esmm and mmoe
Review on Google's multitask ranking system by comparing to other methods used in recommender systems
A framework for Ranked List Truncation, including the implementation of multiple existing deep models, such as BiCut、Choopy and AttnCut. And we propose the multi-task model based on these models.
学习并复现经典的推荐系统多目标任务,如:SharedBottom、ESMM、MMoE、PLE
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。
A PyTorch Library for Multi-Task Learning
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…
Add a description, image, and links to the mmoe topic page so that developers can more easily learn about it.
To associate your repository with the mmoe topic, visit your repo's landing page and select "manage topics."