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Improvement of User's Context Aware and Characteristic Process using spearman correlation coefficients  

Ahn, Chan-Shik (광운대학교 컴퓨터공학과)
Oh, Sang-Yeob (경원대학교 IT대학 컴퓨터소프트웨어)
Publication Information
Journal of Korea Multimedia Society / v.13, no.10, 2010 , pp. 1444-1452 More about this Journal
Abstract
There is very little information on mobile terminal service systems such as CRUMPET because the all the users have different situations and characteristic, and so it is also difficult to find correlations. Because of the difficulty of customizing and recommending information based on preference stemming from the users' various situations and characteristics, they usually provide limited, conceptual information. This paper will recommend a system that recommends information tailored to the user's situation and characteristics, using the Spearman correlation coefficients. It finds correlations from users' information and sequences information that is suitable to the user's situation and characteristics into a list, thereby solving the problem of limited, conceptual information. Performance tests have revealed when compared to existing service systems, this system is more effective in terms of precision and recall, with a 92.3% precision rate, and a 73.8% recall rate.
Keywords
Spearman correlation coefficients; characteristic process; user's context aware; recommendation service system;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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