閱讀筆記--RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
NLP筆記-- RippleNet 一：概述 將KG作爲推薦系統的輔助信息來源，利用實體關係三元組分析用戶的偏好傾向並推理出哪些新的實體項可能是該用戶可能喜歡的。其中知識圖譜即KG指的是由類似（阿甘正傳，電影-導演，羅伯特·澤米吉斯）的
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相關文章
- 1. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems簡析
- 2. #Paper Reading# RippleNet: Propagating User Preferences on the KG for Recommender Systems
- 3. Side Information-Knowledge Graph Convolutional Networks for Recommender Systems閱讀筆記
- 4. Knowledge Graph Convolutional Networks for Recommender Systems
- 5. 論文閱讀：Knowledge Graph Convolutional Networks for Recommender Systems
- 6. Graph Convolutional Neural Networks for Web-Scale Recommender Systems閱讀筆記
- 7. 論文閱讀：《Wide & Deep Learning for Recommender Systems》
- 8. 閱讀總結：《Graph Convolutional Neural Networks for Web-Scale Recommender Systems》
- 9. 論文閱讀：Collaborative Knowledge Base Embedding for Recommender Systems
- 10. 《Statistical Methods for Recommender Systems》閱讀筆記--第三章（1）--EE問題