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recommender systems

推荐系统的多目标优化(4)-PE-LTR

A Pareto-Eficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation


推荐系统的多目标优化(3)-DUPN

Deep User Perception Network


推荐系统的多目标优化(2)-ESM2

Elaborated Entire Space Supervised Multi-task Model


推荐系统的多目标优化(1)-ESMM

Entire Space Multi-Task Model


经典CTR模型(9)---DIEN

Deep Interest Evolution Network for Click-Through rate Prediction


经典CTR模型(8)---DIN

Deep Interest Network for Click-Through Rate Prediction


经典CTR模型(7)---AutoInt

AutoInt Automatic Feature Interaction Learning via Self-Attentive Neural Networks


经典CTR模型(6)---xDeepFM

xDeepFM Combining Explicit and Implicit Feature Interactions for Recommender Systems


经典CTR模型(5)---DeepCross

Deep Crossing Web-Scale Modeling without Manually Crafted Combinatorial Features


经典CTR模型(4)---DeepFM

DeepFM A Factorization-Machine based Neural Network for CTR Prediction


经典CTR模型(4)---WDL

Wide & Deep Learning for Recommender Systems


经典CTR模型(3)---Embedding+MLP浅层改造

FNN,PNN,NFM,ONN


经典CTR模型(2)---WDL

Wide & Deep Learning for Recommender Systems


经典CTR模型(1)---GBDT+LR

Practical Lessons from Predicting Clicks on Ads at Facebook


推荐系统&知识图谱(8)---KGAT

KGAT:Knowledge Graph Attention Network for Recommendation


推荐系统&知识图谱(7)---AKGE

Attentive Knowledge Graph Embedding for Personalized Recommendation


推荐系统&知识图谱(6)---NGCF

Neural Graph Collaborative Filtering


推荐系统&知识图谱(5)---KGNN-LS

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems


推荐系统&知识图谱(4)---KGCN

Knowledge Graph Convolutional Networks for Recommender Systems


推荐系统&知识图谱(3)---MKR

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation


推荐系统&知识图谱(2)---RippleNet

RippleNet:Propagating User Preferences on the Knowledge Graph for Recommender Systems


推荐系统&知识图谱(1)---DKN

DKN:Deep Knowledge-Aware Network for News Recommendation