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2010
ACM

Profiling users in a 3g network using hourglass co-clustering

8 years 10 months ago
Profiling users in a 3g network using hourglass co-clustering
With widespread popularity of smart phones, more and more users are accessing the Internet on the go. Understanding mobile user browsing behavior is of great significance for several reasons. For example, it can help cellular (data) service providers (CSPs) to improve service performance, thus increasing user satisfaction. It can also provide valuable insights about how to enhance mobile user experience by providing dynamic content personalization and recommendation, or location-aware services. In this paper, we try to understand mobile user browsing behavior by investigating whether there exists distinct "behavior patterns" among mobile users. Our study is based on real mobile network data collected from a large 3G CSP in North America. We formulate this user behavior profiling problem as a co-clustering problem, i.e., we group both users (who share similar browsing behavior), and browsing profiles (of like-minded users) simultaneously. We propose and develop a scalable co-...
Ram Keralapura, Antonio Nucci, Zhi-Li Zhang, Lixin
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where MOBICOM
Authors Ram Keralapura, Antonio Nucci, Zhi-Li Zhang, Lixin Gao
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