본문 바로가기
  • Home

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

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2010, 15(8), pp.141-148
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

안찬식 1 오상엽 2

1광운대학교
2경원대학교

Accredited

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%.

Citation status

* References for papers published after 2022 are currently being built.