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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/101496


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/101496


    Title: A Framework for Enabling User Preference Profiling through Wi-Fi Logs
    Authors: Chen;*, 范耀中;Yao-Chung Fan;陳良弼;Arbee L.P.
    Contributors: 資訊工程學系
    Date: 2016-03
    Issue Date: 2016-09-20 11:45:52 (UTC+8)
    Abstract: Understanding users is a key for many business applications. In this paper, we propose to pursue user preference understanding by their Wi-Fi logs collected from their mobile devices. As shown, Wi-Fi data are essentially of various information types and with noises. The challenges lie in how to refine relevant information from noisy Wi-Fi data. Aiming at the challenges, this paper proposes a data cleaning and information enrichment framework for enabling user preference understanding through Wi-Fi logs, and introduces a series of filters for cleaning, correcting, and refining Wi-Fi logs. A comprehensive experiment with real data collected from users is made to verify the effectiveness of the proposed techniques for cleaning noisy Wi-Fi data for user preference profiling. To the best of our knowledge, this work is the first attempt to study user behavior understanding by mining Wi-Fi logs.
    Relation: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
    Appears in Collections:[資訊工程學系] 期刊論文

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