Employing clustering algorithms to create user groups for personalized context aware services provision

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dc.contributor.author Voulodimos, AS en
dc.contributor.author Patrikakis, CZ en
dc.contributor.author Karamolegkos, PN en
dc.contributor.author Doulamis, AD en
dc.contributor.author Sardis, ES en
dc.date.accessioned 2014-03-01T02:53:15Z
dc.date.available 2014-03-01T02:53:15Z
dc.date.issued 2011 en
dc.identifier.uri http://hdl.handle.net/123456789/36193
dc.subject Context aware services en
dc.subject Social networks en
dc.subject Spectral clustering en
dc.subject User groups en
dc.subject User profile en
dc.subject.other Context aware services en
dc.subject.other Social Networks en
dc.subject.other Spectral clustering en
dc.subject.other User groups en
dc.subject.other User profile en
dc.subject.other Cobalt compounds en
dc.subject.other Multimedia services en
dc.subject.other Clustering algorithms en
dc.title Employing clustering algorithms to create user groups for personalized context aware services provision en
heal.type conferenceItem en
heal.identifier.primary 10.1145/2072627.2072637 en
heal.identifier.secondary http://dx.doi.org/10.1145/2072627.2072637 en
heal.publicationDate 2011 en
heal.abstract The successful provision of context aware services entails the attainment of equilibrium between the extent of personalization desired and the user's need for privacy. Two are the major elements that play a significant role: the user's location and the user's preferences. In this paper we focus on the latter, and propose to employ a social groups' creation methodology, so as to hierarchically organize the user preferences concerning any domain in different levels of detail. We describe some notions and metrics which play a key role in social networking frameworks, and we perform an evaluation study of three widely used clustering methods (k-means, hierarchical and spectral clustering) in the scope of social groups assessment and in regard to the cardinality of the profile used to assess users' preferences. The results of the work can be used in many applications, including personalized media delivery, offering a framework on which next generation multimedia access can be provided. © 2011 ACM. en
heal.journalName MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops - ACM Workshop on Social Behavioural Networked Media Access 2011, SBNMA'11 en
dc.identifier.doi 10.1145/2072627.2072637 en
dc.identifier.spage 33 en
dc.identifier.epage 38 en

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