Customization Using Fuzzy Recommender Systems  

作　　者：Ronald R. Yager 

机构地区：[1]Machine Intelligence Institute, Iona College, New Rochelle, NY 10801

出　　处：《Journal of Donghua University(English Edition)》2004年第3期9-14,共6页东华大学学报（英文版）

摘　　要：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.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 preference. 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]