RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems - 代码天地

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

其他 2019-11-28 14:17:28 阅读次数: 0

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转载自www.cnblogs.com/Lee-yl/p/11949636.html

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

Graph Neural Networks in Recommender Systems综述（文章搬运）

GNN 推荐系统综述 - Graph Neural Networks in Recommender Systems: A Survey

推荐系统——Collaborative User Network Embedding for Social Recommender Systems

推荐系统（Recommender Systems）

Recommender Systems(推荐系统)

GCN:Graph Convolutional Neural Networks for Web-Scale Recommender Systems简介

论文笔记《STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems》

[PinSage] Graph Convolutional Neural Networks for Web-Scale Recommender Systems 论文详解KDD2018

【论文笔记】Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions

推荐系统论文笔记（10）：Recommender systems based on user reviews:the state of the art

week9:Recommender Systems

machine learning 之 Recommender Systems

推荐系统：Recommender Systems 简介

Hybrid Recommender Systems: Survey and Experiments

Deep Learning for Recommender Systems资料

Manning Practical Recommender Systems 2019.1

【论文笔记KDD2021】MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems

Knowledge Graph - NLP

eclipse preferences maven user settings

Paper Reading:Wide & Deep Learning for Recommender Systems

推荐系统——Collaborative Variational Autoencoder for Recommender Systems

推荐系统——Exploiting Emotion on Reviews for Recommender Systems

推荐系统——Matrix factorization techniques for recommender systems

论文阅读：《Wide & Deep Learning for Recommender Systems》

论文阅读: Wide & Deep Learning for Recommender Systems

Wide & Deep Learning for Recommender Systems 模型实践

Wide & Deep Learning for Recommender Systems 翻译

《Wide & Deep Learning for Recommender Systems》论文总结

《Wide and Deep Learning for Recommender Systems》学习笔记

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