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dc.contributor.authorGermanakos, Panagiotisen
dc.contributor.authorTsianos, Nikosen
dc.contributor.authorLekkas, Zachariasen
dc.contributor.authorMourlas, Constantinosen
dc.contributor.authorBelk, Mariosen
dc.contributor.authorSamaras, George S.en
dc.creatorGermanakos, Panagiotisen
dc.creatorTsianos, Nikosen
dc.creatorLekkas, Zachariasen
dc.creatorMourlas, Constantinosen
dc.creatorBelk, Mariosen
dc.creatorSamaras, George S.en
dc.description.abstractThis paper presents a Web adaptation and personalization architecture that uses cognitive aspects as its core filtering element. The innovation of the proposed architecture focuses upon the creation of a comprehensive user profiling that combines parameters that analyze the most intrinsic users' characteristics like visual, cognitive, and emotional processing parameters as well as the "traditional" user profiling characteristics and together tend to give the most optimized adapted and personalized result to the user. © 2007 IEEE.en
dc.sourceProceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007en
dc.source7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007en
dc.subjectProposed architecturesen
dc.subjectWeb personalizationen
dc.subjectUser profilingen
dc.subjectCognitive aspectsen
dc.subjectFiltering elementsen
dc.subjectProcessing parametersen
dc.subjectWeb adaptationsen
dc.titleEmbracing cognitive aspects in web personalization environments - The adaptiveweb architectureen
dc.description.endingpage431 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: IEEE Technical Committee on Learning Technologyen
dc.description.notesIEEE Computer Societyen
dc.description.notesConference code: 72702en
dc.description.notesCited By :3</p>en
dc.contributor.orcidBelk, Marios [0000-0001-6200-0178]
dc.contributor.orcidLekkas, Zacharias [0000-0003-2049-8187]

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