#Paper Reading# RippleNet: Propagating User Preferences on the KG for Recommender Systems
论文题目: RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems 论文地址: https://dl.acm.org/citation.cfm?id=3271739 论文发表于: CIKM 2018（CCF B类会议） 论文大体内容： 本文主要介绍了一种通过引入Knowledge
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相关文章
- 1. 阅读笔记--RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
- 2. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems简析
- 3. #Paper Reading# Wide & Deep Learning for Recommender Systems
- 4. Paper Reading:Wide & Deep Learning for Recommender Systems
- 5. #Paper Reading# Personalized Context-aware Re-ranking for E-commerce Recommender Systems
- 6. paper review : Multimodal data fusion framework based on autoencoders for top-N recommender systems
- 7. #Paper Reading# xDeepFM:Combining Explicit and Implicit Feature Interactions for Recommender Systems
- 8. Paper Notes: Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommenda
- 9. Side Information-Knowledge Graph Convolutional Networks for Recommender Systems阅读笔记
- 10. #Paper Reading# On the Measure of Intelligence