Ontology Based Personalized Search
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Supporting Context-Aware Media Recommendations for Smart Phones
IEEE Pervasive Computing
Mobile application usage prediction through context-based learning
Journal of Ambient Intelligence and Smart Environments
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The European FP7 research project m:Ciudad - a metropolis of ubiquitous services - aims at the empowerment of users to create services on mobile terminals. The project demonstrates various scenarios in which users either act as creator of services or interact with the system to search for services or service construction components. The search and recommendation process in the system facilitates retrieval of related entities and shows the results to the users according to their preference and contextual information. The paper demonstrates an approach to integrate contextual information with other search attributes to enable efficient service retrieval and recommendation in mobile user and application scenarios. The specifics of a mobile environment are taken into consideration and are reflected in the design of the m:Ciudad Search and Recommendation Engine. We discuss how context-awareness and proactivity can be implemented and utilised for mobile services.