RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems简析
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，作者生成了RippleNet.正如涟漪一样，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。 ###问题生成 我们有用户与items的交互，以及包含大量实体与关
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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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相关文章
- 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