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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75687

    Title: Logging and analyzing long-term mobile user behavior
    Authors: Wu, Hui Yin
    Liao, Wen-Hung
    Chen, Po-Ming
    Hsu, Chih Yu
    Li, Tsai-Yen
    Contributors: 數位內容碩士學位學程;資科系
    Keywords: consumption behavior;data acquisition;information technology;Internet;mobile communication
    Date: 2014-12
    Issue Date: 2015-06-11 13:40:22 (UTC+8)
    Abstract: With the rapid evolution of mobile devices, the usage patterns of applications on these devices also change over time. Recently, the topic of how user behavior and usage patterns of applications has adapted to new mobile devices such as smartphones has attracted much attention. This work presents an experimental platform that can log and analyze all user operations on a smartphone used in a real-life context over long periods of time. The collected data are transmitted to a server periodically whenever an Internet connection is available. Analytic tools such as charting, log query, and real-time log pattern analysis have also been developed to facilitate the study of user behavior. This paper illustrates the functionalities of the proposed platform through several examples and a sample case study.
    Relation: International Journal of Electronic Commerce Studies, 5(2), 161-180
    Data Type: article
    DOI 連結: http://dx.doi.org/10.7903/ijecs.1349
    DOI: 10.7903/ijecs.1349
    Appears in Collections:[數位內容碩士學位學程] 期刊論文

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