Word Cluster-based Mobile Application Categorization (단어 군집 기반 모바일 애플리케이션 범주화)

허정만; So-Young Park (박소영)

Word Cluster-based Mobile Application Categorization

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2014, 19(3), pp.17-24
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

허정만 ¹, So-Young Park ¹

¹상명대학교

Accredited

ABSTRACT

In this paper, we propose a mobile application categorization method using word clusterinformation. Because the mobile application description can be shortly written, the proposedmethod 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 proposedmethod generates the word clusters by applying the frequency of word occurrence per category toK-means clustering algorithm. Since the mobile application description can include someparagraphs unrelated to the categorization, such as installation specifications, the proposedmethod uses some word clusters useful for the categorization. Experiments show that the proposedmethod improves the recall (5.65%) by using the word cluster information.

KEYWORDS

Mobile Application, Categorization, Word Clustering

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65