Proposition of the context-aware application prediction mechanism for mobile devices

Satoshi Kurihara, Koichi Moriyama, Masayuki Numao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years, highly-functional mobile devices such as smart phones and car navigation systems are widely used. These are important for our daily life because we use their applications anywhere and anytime. With the variety of applications available on these devices, however, it becomes more difficult to choose an appropriate application. Therefore we need a mechanism that recommends us suitable applications, which should depend on a user's context because he/she uses his/her devices differently in every context. This paper shows that it follows a power law what applications a user executes in daily life, and proposes a novel approach to find context-aware applications in the mobile devices. This approach is based on the term frequency - inverse document frequency (TF-IDF), which is used for extracting important keywords in a document. Moreover, we propose an application recommendation mechanism using this approach. Experimental results show that this recommendation mechanism is more effective than the mechanism using Naive Bayes.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IATW 2013
Pages118-121
Number of pages4
DOIs
Publication statusPublished - 2013 Dec 1
Externally publishedYes
Event2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IATW 2013 - Atlanta, GA, United States
Duration: 2013 Nov 172013 Nov 20

Publication series

NameProceedings - 2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IATW 2013
Volume3

Other

Other2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IATW 2013
CountryUnited States
CityAtlanta, GA
Period13/11/1713/11/20

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Kurihara, S., Moriyama, K., & Numao, M. (2013). Proposition of the context-aware application prediction mechanism for mobile devices. In Proceedings - 2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IATW 2013 (pp. 118-121). [6690708] (Proceedings - 2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IATW 2013; Vol. 3). https://doi.org/10.1109/WI-IAT.2013.163