东华大学学报（英文版）2004，Vol.21Issue(3)：9-14,6.
Customization Using Fuzzy Recommender Systems
Customization Using Fuzzy Recommender Systems
Ronald R. Yager1
作者信息
- 1. Machine Intelligence Institute, Iona College, New Rochelle, NY 10801
- 折叠
摘要
Abstract
We discuss some methods for constructing recommender systems. An important feature of the methods studied here is that we assume the availability of a description, representation, of the objects being considered for recommendation. The approaches studied here differ from collaborative filtering in that we only use pReferences information from the individual for whom we are providing the recommendation and make no use the preferences of other collaborators. We provide a detailed discussion of the construction of the representation schema used. We consider two sources of information about the users preferences. The first are direct statements about the type of objects the user likes. The second source of information comes from ratings of objects which the user has experienced.关键词
recommender system/fuzzy logic/preferenceKey words
recommender system/fuzzy logic/preference分类
轻工纺织引用本文复制引用
Ronald R. Yager..Customization Using Fuzzy Recommender Systems[J].东华大学学报（英文版）,2004,21(3):9-14,6.
