JavaShuo
栏目
标签
Explainable Recommendation: A Survey and New Perspectives读书笔记
时间 2020-12-30
原文
原文链接
推荐系统的研究问题可分成5W,可解释性推荐主要是回答why这个问题。 - when time-aware recommendation - what application-aware recommendation - who social recommendation - where location-based recommendation - why explainable recommen
>>阅读原文<<
相关文章
1.
Deep Learning based Recommender System: A Survey and New Perspectives
2.
【论文阅读笔记】Deep Learning based Recommender System: A Survey and New Perspectives
3.
翻译(笔记):可解释性推荐系统综述Explainable Recommendation: A Survey and New Perspectives
4.
Deep Learning based Recommender System:A Survey and New Perspectives
5.
Deep Learning based Recommender System: A Survey and New Perspectives (2)
6.
Deep Learning based Recommender System: A Survey and New Perspectives (1)
7.
Deep Multimodal Learning A survey on recent advances and trends读书笔记
8.
笔记:《Transparent, Scrutable and Explainable User Models for Personalized Recommendation》
9.
Tree-enhanced Embedding Model for Explainable Recommendation阅读笔记
10.
Visual Place Recognition: A Survey阅读笔记
更多相关文章...
•
Eclipse 添加书签
-
Eclipse 教程
•
ASP.NET Razor - 标记
-
ASP.NET 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
读书笔记
recommendation
survey
explainable
perspectives
FSFA 读书笔记
MySQL 读书笔记
Nginx读书笔记
阅读笔记
NEW!
MyBatis教程
Redis教程
Thymeleaf 教程
0
分享到微博
分享到微信
分享到QQ
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。
最新文章
1.
网络层协议以及Ping
2.
ping检测
3.
为开发者总结了Android ADB 的常用十种命令
4.
3·15 CDN维权——看懂第三方性能测试指标
5.
基于 Dawn 进行多工程管理
6.
缺陷的分类
7.
阿里P8内部绝密分享:运维真经K8S+Docker指南”,越啃越香啊,宝贝
8.
本地iis部署mvc项目,问题与总结
9.
InterService+粘性服务+音乐播放器
10.
把tomcat服务器配置为windows服务的方法
本站公众号
欢迎关注本站公众号,获取更多信息
相关文章
1.
Deep Learning based Recommender System: A Survey and New Perspectives
2.
【论文阅读笔记】Deep Learning based Recommender System: A Survey and New Perspectives
3.
翻译(笔记):可解释性推荐系统综述Explainable Recommendation: A Survey and New Perspectives
4.
Deep Learning based Recommender System:A Survey and New Perspectives
5.
Deep Learning based Recommender System: A Survey and New Perspectives (2)
6.
Deep Learning based Recommender System: A Survey and New Perspectives (1)
7.
Deep Multimodal Learning A survey on recent advances and trends读书笔记
8.
笔记:《Transparent, Scrutable and Explainable User Models for Personalized Recommendation》
9.
Tree-enhanced Embedding Model for Explainable Recommendation阅读笔记
10.
Visual Place Recognition: A Survey阅读笔记
>>更多相关文章<<