RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems簡析
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems 介紹 爲了解決基於embedding和基於路徑的方法的限制，作者生成了RippleNet.正如漣漪一樣，利用用戶曾經的點擊記錄，不斷外擴發掘用戶可能的興趣點。 ###問題生成 我們有用戶與items的交互，以及包含大量實體與關
相關文章
- 1. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems簡析
- 2. 閱讀筆記--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閱讀筆記
- 6. 論文閱讀：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. 【論文翻譯】KGAT: Knowledge Graph Attention Network for Recommendation
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相關文章
- 1. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems簡析
- 2. 閱讀筆記--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閱讀筆記
- 6. 論文閱讀：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. 【論文翻譯】KGAT: Knowledge Graph Attention Network for Recommendation