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  • 标题:A RECOMMENDER SYSTEM USING COLLABORATIVE FILTERING AND K MEAN BASED ON ANDROID APPLICATION
  • 本地全文:下载
  • 作者:KUNYANUTH KULARBPHETTONG ; SUNISA SOMNGAM ; CHOLTICHA TONGSIRI
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2014
  • 卷号:70
  • 期号:1
  • 出版社:Journal of Theoretical and Applied
  • 摘要:The objective of this research is to develop the diamond recommendation system by using K-Means and Collaborative Filtering techniques. The prototype system suggests users automatically in order to maximize users� satisfaction. The system design and development will be in the form of Android (android operating system). We illustrate the methodologies and experimental results of this system. In this project, it was divided the result by the research purposes into 2 parts: developing the Mobile application for diamond recommender users and evaluating and testing the system. The results showed that the experts and users are satisfied with the system at a good level. The guide to buying diamonds actually works.
  • 关键词:Recommendation system; K-Mean; Collaborative filtering; Android
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