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Probabilistic Inference of User's Context for Mobile Social Network Services  

Min, Jun-Ki (연세대학교 컴퓨터과학과)
Jang, Su-Hyung (연세대학교 인지과학과)
Cho, Sung-Bae (연세대학교 컴퓨터과학과)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.16, no.3, 2010 , pp. 361-365 More about this Journal
Abstract
In recent years, social networks come into the spotlight as the important ways to find people or share information. Especially, existing social network services based on the Internet, such as Facebook.com and Cyworld.com, are now extended into the mobile environment. A mobile phone easily collects the personal information since it is carried by the user at all times, and various types of data can be gathered together with the advance of sensor technologies. These features differentiate the mobile social network services from the previous Internet-based services. In this paper, we estimate the user's mobile social contexts like closeness and relationship between the user and surrounding people using Bayesian networks. The mobile social contexts can be employed as important information for providing mobile social network services, and experimental results on real world data have verified their possibilities.
Keywords
Mobile Social Network; Bayesian Networks; User's Context;
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