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http://dx.doi.org/10.14400/JDC.2017.15.1.427

AHP-Based Recommendation System of Mobile Games Reflecting User Preferences  

Oh, Jae-Taek (Dept. of Computer Science & Engineering, Kongju National University)
Lee, Sang-Yong (Div. of Computer Science & Engineering, Kongju National University)
Publication Information
Journal of Digital Convergence / v.15, no.1, 2017 , pp. 427-433 More about this Journal
Abstract
Mobile game users tend to value the opinions from their friends or SNS when making a decision on which game to play. This is because they are not satisfied with the information on suggestions provided by the conventional mobile game recommendation systems. In this research, we made a system that can reflect user preference directly by using Analytic Hierarchy Process(AHP). In the system, the hierarchy of AHP is composed of final goal(Level 1), evaluation basis(Level 2) and alternative(Level 3). And the system is made up of an input module, an AHP processing module, a recommendation module and database. Through comparison analysis with two conventional systems to test the performance of the system, we could find that the system got more higher satisfaction than the other systems.
Keywords
Analytic Hierarchy Process; Decision-Making; Mobile Game; Recommendation System; User Preference;
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Times Cited By KSCI : 4  (Citation Analysis)
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