Recommending Services in Pervasive Environments
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The presence of mobile devices with network connectivity continues to increase in all parts of the world, opening up direct channels to mobile users. The threat of information overload is prevalent, and if not subjected to control in terms of legislation and deployment of more intelligent and user-considerate systems it is likely to cause problems. This is particularly important in the case of push-based advertisement systems where information must be of relevance to the mobile user preferences, needs, and interest. This paper proposes a solution and architecture of a consumer-oriented, push-based, context aware location based advertisement system. The system is designed to operate in compliance with the World Wireless Research Foundation (WWRF) guidelines for the future space of information services: personalization, ambient awareness, and adaptability. The system is intended to operate in pervasive environments. The proposed system, called AdvertLBS, harvest knowledge about service providers and consumers in terms of preferences, geographical and temporal locations. The system applies knowledge about services, consumers, and learns context information in order to establish a broad service recommendation context. The AdvertLBS system adopts a hybrid approach to recommendation logic and proposes to use a subset of suitable matching algorithms to produce service recommendations relevant to the consumer’s interests and needs.
Masteroppgave i informasjons- og kommunikasjonsteknologi 2010 – Universitetet i Agder, Grimstad