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Multilabel Learning for personalized Bookmark Classification
Type of publication: Mastersthesis
Citation: ba:Christoph
Type: Bachelor-Arbeit
Year: 2013
Month: October
School: TU Darmstadt, Knowledge Engineering Group
URL: http://www.ke.tu-darmstadt.de/lehre/arbeiten/bachelor/2013/Christoph_Bastian_updated.pdf
Abstract: In this thesis we will show the application of support-vector-machines to multilabel hierarchical datasets, built in the commonly known process of bookmark classification. Therefore we will propose two approaches for the multilabel classification. Finally we will show that the predicted multilabel rankings can be evaluated for the different levels of the hierarchy.
Userfields: betreuer={ELM}
Keywords: hierarchical, HOMER, multilabel
Authors Christoph, Bastian
Attachments
  • Christoph_Bastian_slides.pdf
       (Folien Abschlusspr√§sentation)
Topics