.png){kind=icon}
返回
Fuzzy logic methods in recommender systems
.png){kind=icon}
PRE
AI
DOI：10.1016/S0165-0114(02)00223-3.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Here we consider methodologies for constructing recommender systems. The approaches studied here differ from collaborative filtering, they are based solely on the preferences of the single individual for whom we are providing the recommendation and make no use of the preferences of other collaborators. We have called these reclusive methods. Another important feature distinguishing these reclusive methods from collaborative methods is that they require a representation of the objects. Considerable use is made of fuzzy set methods for the representation and subsequent construction of justifications and recommendation rules. It is pointed out these reclusive methods rather than being competitive with collaborative methods are complementary. (C) 2002 Elsevier Science B.V. All rights reserved.
Keyword:
customization
recommender systems
fuzzy methods
collaborative filtering
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.7
论文数:
7.6K
被引数:
1.5W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏
分享收藏
查看更多内容