Some computer science issues in ubiquitous computing
ACM SIGMOBILE Mobile Computing and Communications Review - Special issue dedicated to Mark Weiser
Virtual video prototyping of pervasive healthcare systems
DIS '02 Proceedings of the 4th conference on Designing interactive systems: processes, practices, methods, and techniques
An automatic weighting scheme for collaborative filtering
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Smart identification frameworks for ubiquitous computing applications
Wireless Networks - Special issue: Pervasive computing and communications
A service-oriented middleware for building context-aware services
Journal of Network and Computer Applications
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
Ubiquitous Device Collaboration Infrastructure: Celadon
SEUS-WCCIA '06 Proceedings of the The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance (SEUS-WCCIA'06)
Collaborative Filtering Using Dual Information Sources
IEEE Intelligent Systems
New Recommendation Techniques for Multicriteria Rating Systems
IEEE Intelligent Systems
A Context-Based Collaboration System in Ubiquitous Environments
ICCIT '07 Proceedings of the 2007 International Conference on Convergence Information Technology
A Hybrid Recommender System for Context-aware Recommendations of Mobile Applications
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
QoS-enabled residential gateway architecture
IEEE Communications Magazine
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It is not easy to provide a personalized service by using an existing recommendation system in ubiquitous computing environments providing the personalized service according to the situation. Because majority of existing recommendation systems focus on similarity of users and items. Although they are modified to consider the situation, they still have problems requiring more increased complexity in order to provide personalized services considering dynamically changing user's situation and preference. In this paper, we propose an efficient context-aware personalization technique considering the situation and tastes of users in ubiquitous computing environments. Our method is a hybrid personalization technique successively applying context-aware personalization and user profile based personalization. And we build a context model need for the context-aware personalization. In the experimental section, we show that our method has lower complexity than traditional method through the evaluation of response time and satisfaction score.