Modern mobile devices such as smartphones concentrate information from various sources that provide textual contents, mainly in the form of e-mails, short and instant messages, web documents and social network posts. While the respective apps make it especially easy to intuitively consume and create such contents, the analysis of large amounts of natural language text on mobile devices is still uncommon, although their hardware is mostly powerful enough to carry out this task. This paper presents with Android IR a first solution for effective and power-saving full-text search on Android devices. Its features and working principles are described in detail. Furthermore, the app’s performance is evaluated using real-world text documents.
CITATION STYLE
Kubek, M., Schweda, R., & Unger, H. (2018). Android IR - Full-text search for android. In Advances in Intelligent Systems and Computing (Vol. 566, pp. 287–296). Springer Verlag. https://doi.org/10.1007/978-3-319-60663-7_27
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