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http://dx.doi.org/10.5762/KAIS.2020.21.1.380

Improving evaluation metric of mobile application service with user review data  

Lee, Burmguk (Tmax Data Research Center)
Son, Changho (Korea Army Academy at Yeong-Cheon)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.1, 2020 , pp. 380-386 More about this Journal
Abstract
The mobile application market has grown over the past decade since the advent of smartphones, making it the largest market for electronic device software. As competition intensifies in the mobile application market, the impact of application evaluations on the consumption and usage patterns of users has also significantly increased. Therefore, research has been conducted on measures to evaluate mobile applications, but most of the research has relied on qualitative methods such as expert-centered interviews or surveys. In addition, evaluation measures are being constructed from the service provider's perspective, not from the service user's perspective. However, the possibility of application-specific analyses that minimize the subjectivity of researchers is growing, as large amounts of user review data enable quantitative analysis of actual users' assessment of applications. Therefore, this study presents a methodology that can complement current problems with existing quality assessments for mobile applications by utilizing user review data. To this end, the Topic Modeling technique LDA (Latent Dirichlet allocation) is applied in order to elucidate ways to improve existing evaluation measures from a user's perspective. The study is expected to reduce bias in service assessment due to the subjectivity of service providers and researchers as well as provide a measure of assessment by area of mobile applications from a consumer perspective.
Keywords
User Centric; Mobile Application; Service Evaluation; Topic Modeling; User Review;
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