iLauncher - An Intelligent Launcher for Mobile Apps based on Individual Usage Patterns
Date Issued
2012
Date
2012
Author(s)
Tang, Li-Yu
Abstract
The next-generation smartphones should provide a signification improvement
in terms of personalization. A major challenge in smartphone personalization
is how to tackle the diversity in smartphone usage. This paper presents
iLauncher, an intelligent quick launch that can adapt to individual usage patterns
on the fly to change apps dynamically without user intervention. The
rationale behind the development process is that we collected traces of real
user activity and conducted statistical analysis to derive some observations
that provide useful insights into the design of our algorithm. The results of
experiments conducted to evaluate the proposed algorithm are encouraging
in terms of prediction accuracy. We have implemented iLauncher based on
the algorithm and released it in an Android marketplace for free usage.
Subjects
smartphone
personalization
user behavior analysis
mobile apps
smartphone user analysis
Type
thesis
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