笔记：《Transparent, Scrutable and Explainable User Models for Personalized Recommendation》
阅读日期：2020.3.5 论文题目：《Transparent, Scrutable and Explainable User Models for Personalized Recommendation》 发现问题： 现有推荐系统：①透明度：由于算法过于复杂，或系统提供者进行了保护措施，使得现有推荐系统的透明度不高，仅提供一些justification（可能与推荐算法不相关的描述）。②可检查性：
相关文章
- 1. Non-Sampling Learning for Personalized Recommendation——笔记
- 2. 论文笔记：Personalized Deep Learning for Tag Recommendation
- 3. Real-Time Personalized Recommendation System
- 4. Explainable Recommendation: A Survey and New Perspectives读书笔记
- 5. Explainable Reasoning over Knowledge Graphs for Recommendation
- 6. 【论文阅读】 2014SIGIR - Explicit Factor Models for Explainable Recommendation based on Phrase-level Senti
- 7. 论文Reinforcement Knowledge Graph Reasoning for Explainable Recommendation笔记
- 8. Tree-enhanced Embedding Model for Explainable Recommendation阅读笔记
- 9. 《Mining Large Streams of User Data for Personalized Recommendations》笔记
- 10. 论文笔记：Personalized Tag Recommendation for Images Using Deep Transfer Learning
- 更多相关文章...
- • ASP.NET Razor - 标记 - ASP.NET 教程
- • Scala for循环 - Scala教程
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • RxJava操作符（七）Conditional and Boolean
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Non-Sampling Learning for Personalized Recommendation——笔记
- 2. 论文笔记：Personalized Deep Learning for Tag Recommendation
- 3. Real-Time Personalized Recommendation System
- 4. Explainable Recommendation: A Survey and New Perspectives读书笔记
- 5. Explainable Reasoning over Knowledge Graphs for Recommendation
- 6. 【论文阅读】 2014SIGIR - Explicit Factor Models for Explainable Recommendation based on Phrase-level Senti
- 7. 论文Reinforcement Knowledge Graph Reasoning for Explainable Recommendation笔记
- 8. Tree-enhanced Embedding Model for Explainable Recommendation阅读笔记
- 9. 《Mining Large Streams of User Data for Personalized Recommendations》笔记
- 10. 论文笔记：Personalized Tag Recommendation for Images Using Deep Transfer Learning