Abstract
Nowadays, every user has dozens of Apps on her/his mobile device. As time passes, it becomes increasingly difficult simply to find the desired App among those installed on the mobile device and launch it. In spite of several attempts to address this challenge, no good solution for this growing problem has yet been found. In this paper, we examine the idea of classifying Apps based on their functionality to allow users to find and access them easily. An App's functionality is elicited from the textual description of the App, as retrieved from the App store, and enriched by content from additional online publications. The functional representation is then classified into classes and mapped into personal categories using functional hierarchical compact taxonomies that can be easily presented on the small screen of a mobile device. Experiments and user studies demonstrated the potential of this approach.
Original language | American English |
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Article number | 3083450 |
Journal | Mobile Information Systems |
Volume | 2016 |
DOIs | |
State | Published - 1 Jan 2016 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Computer Networks and Communications