Abstract
Wi-Fi logs from a mobile device can be used to discover user preferences. The core ideas are two folds. First, every Wi-Fi access point is with a network name, normally a human-readable string, called SSID (Service Set Identifier). Since SSIDs are often with semantics, from which we can infer the place where the user stayed. Second, a Wi-Fi log is produced when the user is near a Wi-Fi access point. A high frequency of a consecutively observed SSID implies a long stay duration at a place. Wi-Fi logs are essentially of various information types and with noises. How to assess the information types, eliminate irrelevant information, and clean up the noises within partial-informative SSIDs are therefore keys for profiling user preferences through Wi-Fi logs. In this talk, a data cleaning and information enrichment framework for enabling user preference understanding through collected Wi-Fi logs will be presented.
About the speaker
Prof Arbee L.P. Chen received his PhD in computer engineering from the University of Southern California in 1984. He was a Research Scientist at Unisys, California; a Member of Technical Staff at Bell Communications Research, New Jersey; and the Professor of the Department of Computer Science, National Tsing Hua University. Prof Chen is currently the Vice President and Chair Professor of the Department of Computer Science and Information Engineering at Asia University, Taiwan. He also holds joint faculty positions at National Tsing Hua University and Academia Sinica, Taiwan.
Prof Chen’s current research interests include big data analytics, top-k queries, and multimedia information retrieval. He has published more than 250 papers in renowned international journals and conference proceedings, and was a visiting scholar at Tsinghua University in Beijing, Kyoto University, Stanford University, King’s College London, Boston University, Harvard University, and the Hong Kong University of Science and Technology.
Prof Chen received numerous awards including the Distinguished Research Awards (3 times); Research Fellow Award (2 times); and Distinguished Research Fellow Award by Taiwan National Science Council. He also organized IEEE Data Engineering Conference in Taiwan, and continuously serves in various capacities for international conferences and journals.
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