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247
pages
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English
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Documents
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2008
Description
Trust BasedRecommendationsinMulti LayerNetworksClaudiaHeßTrust BasedRecommendationsinMulti LayerNetworksbyClaudia HeßSeptember 2007Dissertation thesis submitted in a jointly supervisedGerman-French Cotutelle to obtain the degree ofDoktor der Naturwissenschaften (Dr.rer.nat.)by the University of Bamberg, Germany,Faculty for Information Systems and Applied Computer ScienceandGrade de Docteur Sp´ecialit´e Informatiqueby Paris-Sud 11 University, France,Faculty of Sciences, Ecole Doctorale d’InformatiqueDissertation directed byProf.Dr.Christoph Schlieder andProf.Dr.Michel de RougemontNum´ero d’ordre : 89571. Gutachter: Prof.Dr.Christoph Schlieder2. Gutachter: Prof.Dr.Gunther Gorz¨ ¨1. Rapporteur : Prof.Dr.Mohand-Said Hacid2. Rapporteur : Prof.Dr.Gu¨nther Go¨rzDefense of the thesis: January, 25, 2008Thesis Committee:Prof.Dr.Christoph Schlieder (thesis advisor), University of BambergProf.Dr.Michel de Rougemont (thesis advisor), Paris-Sud 11 UniversityProf.Dr.Gunther Gorz (thesis examiner), University Erlangen-Nuremberg¨ ¨Prof.Dr.Mohand-Said Hacid (thesis examiner), Universit´e Claude Bernard Lyon 1Prof.Dr.Ute Schmid (chair of the thesis committee), University of BambergProf.Dr.Nicolas Spyratos, Paris-Sud 11 UniversityAbstractThe huge interest in social networking applications – Friendster.com, for example, hasmore than 40 million users – led to a considerable research interest in using this datafor generating recommendations.
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Publié par
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Publié le
01 janvier 2008
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Langue
English
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Poids de l'ouvrage
3 Mo