HEAL DSpace

User - Profile based communities assessment using clustering methods

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dc.contributor.author Karamolegkos, PN en
dc.contributor.author Patrikakis, CZ en
dc.contributor.author Doulamis, ND en
dc.contributor.author Tragos, EZ en
dc.date.accessioned 2014-03-01T02:45:00Z
dc.date.available 2014-03-01T02:45:00Z
dc.date.issued 2007 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32083
dc.subject Cluster Algorithm en
dc.subject Clustering Method en
dc.subject Spectral Clustering en
dc.subject Use Case en
dc.subject User Profile en
dc.subject K Means en
dc.subject.other Clustering methods en
dc.subject.other Profile size en
dc.subject.other Spectral clustering en
dc.subject.other Mathematical models en
dc.subject.other Spectrum analysis en
dc.subject.other Telecommunication services en
dc.subject.other User interfaces en
dc.subject.other Clustering algorithms en
dc.title User - Profile based communities assessment using clustering methods en
heal.type conferenceItem en
heal.identifier.primary 10.1109/PIMRC.2007.4394637 en
heal.identifier.secondary http://dx.doi.org/10.1109/PIMRC.2007.4394637 en
heal.identifier.secondary 4394637 en
heal.publicationDate 2007 en
heal.abstract In this paper, we introduce and evaluate a framework for a user profile-based socializing application. We model the user profile as an unordered set composed of n keywords that represent users' preferences. We evaluate the effectiveness of two clustering algorithms, k-means and spectral clustering in the scope of social groups' assessment. Through experimental results we substantiate the applicability of spectral clustering in the examined service and we evaluate the impact of profile size in terms of the quality of partitions yielded by spectral clustering. The above are performed using case studies and scenarios developed in the context of IST project's MAGNET Beyond pilot services definition. © 2007 IEEE. en
heal.journalName IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC en
dc.identifier.doi 10.1109/PIMRC.2007.4394637 en


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