Abstract
Quantitative analysis of user behavior calls for automated collection of large amount of log data over time. In this paper, we present a service platform for logging and analyzing mobile user behaviors. We have implemented a log collection service which records all user operations on the mobile unit. The collected data are transmitted to a remote server based on an energy-aware schedule. By providing a simple web-based interface, researchers can selectively retrieve the log according to the subject of interest. We illustrate the functionalities of the proposed service platform by several sampled logs. © 2011 Springer-Verlag.
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CITATION STYLE
Chen, P. M., Chen, C. H., Liao, W. H., & Li, T. Y. (2011). A service platform for logging and analyzing mobile user behaviors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6872 LNCS, pp. 78–85). https://doi.org/10.1007/978-3-642-23456-9_15
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