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

时间 2019-12-05

标签 ripplenet propagating user preferences knowledge graph recommender systems 繁體版

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RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems 介绍为了解决基于embedding和基于路径的方法的限制，做者生成了RippleNet.正如涟漪同样，利用用户曾经的点击记录，不断外扩发掘用户可能的兴趣点。web ###问题生成框架咱们有用户与items的交互，以及包含大

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1. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems简析
2. 阅读笔记--RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
3. #Paper Reading# RippleNet: Propagating User Preferences on the KG for Recommender Systems
4. Knowledge Graph Convolutional Networks for Recommender Systems
5. Side Information-Knowledge Graph Convolutional Networks for Recommender Systems阅读笔记
6. 论文阅读：Knowledge Graph Convolutional Networks for Recommender Systems
7. Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization
8. Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
9. Graph Convolutional Neural Networks for Web-Scale Recommender Systems
10. 【论文翻译】KGAT: Knowledge Graph Attention Network for Recommendation
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1. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems简析
2. 阅读笔记--RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
3. #Paper Reading# RippleNet: Propagating User Preferences on the KG for Recommender Systems
4. Knowledge Graph Convolutional Networks for Recommender Systems
5. Side Information-Knowledge Graph Convolutional Networks for Recommender Systems阅读笔记
6. 论文阅读：Knowledge Graph Convolutional Networks for Recommender Systems
7. Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization
8. Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
9. Graph Convolutional Neural Networks for Web-Scale Recommender Systems
10. 【论文翻译】KGAT: Knowledge Graph Attention Network for Recommendation

>>更多相关文章<<