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http://dx.doi.org/10.9708/jksci.2014.19.3.017

Word Cluster-based Mobile Application Categorization  

Heo, Jeongman (Dept. of Game Design & Development, SangMyung University)
Park, So-Young (Dept. of Game Design & Development, SangMyung University)
Publication Information
Journal of the Korea Society of Computer and Information / v.19, no.3, 2014 , pp. 17-24 More about this Journal
Abstract
In this paper, we propose a mobile application categorization method using word cluster information. Because the mobile application description can be shortly written, the proposed method utilizes the word cluster seeds as well as the words in the mobile application description, as categorization features. For the fragmented categories of the mobile applications, the proposed method generates the word clusters by applying the frequency of word occurrence per category to K-means clustering algorithm. Since the mobile application description can include some paragraphs unrelated to the categorization, such as installation specifications, the proposed method uses some word clusters useful for the categorization. Experiments show that the proposed method improves the recall (5.65%) by using the word cluster information.
Keywords
Mobile Application; Categorization; Word Clustering;
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Times Cited By KSCI : 4  (Citation Analysis)
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