Abstract
The world of mobile applications is relatively young. However, it has already grown and will continue to expand in the future. Consequently, an increasing number of mobile application stores provide new ways for the users of downloading mobile applications and for the developers of submitting new applications. Millions of consumers look for mobile applications to download - i.e. games, maps, movie, e-mails and so on. This extraordinary new world represents an exceptional challenge for application developers who want to earn and obtain new business opportunities. Our research work focused on studying, analyzing and modeling the best strategies that should be adopted in a mobile application store in order to maximize efficiency and profit. We propose a model that simulates a complex system of mobile applications, developers, and users, all together interacting in an application mobile store. Here the developers build and upload mobile applications to the mobile applications store and the users browse the store and download only the mobile applications that arouse their attention.
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Cocco, L., Mannaro, K., Concas, G., Marchesi, M. (2014). Simulation of the Best Ranking Algorithms for an App Store. In: Awan, I., Younas, M., Franch, X., Quer, C. (eds) Mobile Web Information Systems. MobiWIS 2014. Lecture Notes in Computer Science, vol 8640. Springer, Cham. https://doi.org/10.1007/978-3-319-10359-4_19
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DOI: https://doi.org/10.1007/978-3-319-10359-4_19
Publisher Name: Springer, Cham
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