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Communications of the ACM
Finding and reminding: file organization from the desktop
ACM SIGCHI Bulletin
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Re-framing the desktop interface around the activities of knowledge work
Proceedings of the 21st annual ACM symposium on User interface software and technology
A survey of mobile phone sensing
IEEE Communications Magazine
AppJoy: personalized mobile application discovery
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Identifying diverse usage behaviors of smartphone apps
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
How do we find personal files?: the effect of OS, presentation & depth on file navigation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fast app launching for mobile devices using predictive user context
Proceedings of the 10th international conference on Mobile systems, applications, and services
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In recent years, we have witnessed the incredible popularity and widespread adoption of mobile devices. Millions of Apps are being developed and downloaded by users at an amazing rate. These are multi-feature Apps that address a broad range of needs and functions. Nowadays, every user has dozens of Apps on his mobile device. As time goes on, it becomes more and more difficult simply to find the desired App among those that are installed on the mobile device. In spite of several attempts to address the problem, no good solution for this increasing problem has yet been found. In this paper we suggest the use of unsupervised machine learning for clustering Apps based on their functionality, to allow users to access them easily. The functionality is elicited from their description as retrieved from various App stores and enriched by content from professional blogs. The Apps are clustered and grouped according to their functionality and presented hierarchically to the user in order to facilitate the search on the small screen of the mobile device.