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http://dx.doi.org/10.9708/jksci.2010.15.8.141

User's Individuality Preference Recommendation System using Improved k-means Algorithm  

Ahn, Chan-Shik (광운대학교 컴퓨터공학과)
Oh, Sang-Yeob (경원대학교 IT대학 컴퓨터소프트웨어)
Publication Information
Journal of the Korea Society of Computer and Information / v.15, no.8, 2010 , pp. 141-148 More about this Journal
Abstract
In mobile terminal recommend service system has general information restrictive recommend that individuality considering to user's information find and recommend. Also it has difficult of accurate information recommend bad points user's not offer individuality information preference recommend service. Therefore this paper is propose user's information individuality preference considering by user's individuality preference recommendation system using improved k-means algorithm. Propose method is correlation coefficients using user's information individuality preference when user's individuality preference recommendation using improved k-means algorithm. Restrictive information recommend to fix a problem, information of restrictive general recommend that user's information individuality preference offer to accurate information recommend. Performance experiment is existing service system as compared to evaluating the effectiveness of precision and recall, performance experiment result is appear to precision 85%, recall 68%.
Keywords
information recommendation; service systems; user individuality preference; k-means algorithm;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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