ContextPhone: A Prototyping Platform for Context-Aware Mobile Applications
IEEE Pervasive Computing
Computing in social networks with relationship algebra
Journal of Network and Computer Applications
AniDiary: Daily Cartoon-Style Diary Exploits Bayesian Networks
IEEE Pervasive Computing
Location-based recommendation system using Bayesian user's preference model in mobile devices
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
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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.