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UIC
2007
Springer

Location-Based Recommendation System Using Bayesian User's Preference Model in Mobile Devices

11 years 7 months ago
Location-Based Recommendation System Using Bayesian User's Preference Model in Mobile Devices
As wireless communication advances, research on location-based services using mobile devices has attracted interest, which provides information and services related to user’s physical location. As increasing information and services, it becomes difficult to find a proper service that reflects the individual preference at proper time. Due to the small screen of mobile devices and insufficiency of resources, personalized services and convenient user interface might be useful. In this paper, we propose a map-based personalized recommendation system which reflects user's preference modeled by Bayesian Networks (BN). The structure of BN is built by an expert while the parameter is learned from the dataset. The proposed system collects context information, location, time, weather, and user request from the mobile device and infers the most preferred item to provide an appropriate service by displaying onto the mini map.
Moon-Hee Park, Jin-Hyuk Hong, Sung-Bae Cho
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where UIC
Authors Moon-Hee Park, Jin-Hyuk Hong, Sung-Bae Cho
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