阅读笔记--RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
NLP笔记-- RippleNet 一：概述 将KG作为推荐系统的辅助信息来源，利用实体关系三元组分析用户的偏好倾向并推理出哪些新的实体项可能是该用户可能喜欢的。其中知识图谱即KG指的是由类似（阿甘正传，电影-导演，罗伯特·泽米吉斯）的
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相关文章
- 1. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems简析
- 2. #Paper Reading# RippleNet: Propagating User Preferences on the KG for Recommender Systems
- 3. Side Information-Knowledge Graph Convolutional Networks for Recommender Systems阅读笔记
- 4. Knowledge Graph Convolutional Networks for Recommender Systems
- 5. 论文阅读：Knowledge Graph Convolutional Networks for Recommender Systems
- 6. Graph Convolutional Neural Networks for Web-Scale Recommender Systems阅读笔记
- 7. 论文阅读：《Wide & Deep Learning for Recommender Systems》
- 8. 阅读总结：《Graph Convolutional Neural Networks for Web-Scale Recommender Systems》
- 9. 论文阅读：Collaborative Knowledge Base Embedding for Recommender Systems
- 10. 《Statistical Methods for Recommender Systems》阅读笔记--第三章（1）--EE问题