A Framework for Enabling User Preference Profiling through Wi-Fi Logs

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题名:	A Framework for Enabling User Preference Profiling through Wi-Fi Logs
作者:	Chen；*, 范耀中；Yao-Chung Fan；陳良弼；Arbee L.P.
贡献者:	資訊工程學系
日期:	2016-03
上传时间:	2016-09-20 03:45:52 (UTC+0)
摘要:	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.
關聯:	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
显示于类别:	[資訊工程學系] 期刊論文

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