This paper presents a social and personal context modeling method on mobile device. It infers user's contexts, such as amity with others and emotional state, from uncertain logs stored in mobile devices using Bayesian networks. Proper services are then provided to the user based on the semantic compatibility between current and past contexts. Here, the contexts are hierarchically matched after each context is expanded to the context-tree using domain ontology. We have implemented a contact list recommendation application on mobile device that recommends phone numbers in a phonebook according to the user's situation. Experimental results on real-user data show that the method provides an efficient and accurate means for mobile based social networking applications. 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology 978-0-7695-3496-1/08 $25.00
In REF , a social and personal context modeling method was proposed to support social networking applications of mobile devices.
Social and Personal Context Modeling for Contact List Recommendation on Mobile Device
2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
Computer Science