Collaborative Filtering Ensemble for Personalized Name Recommendation

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dc.contributor	Leibniz Universität Hannover
dc.contributor	Diaz-Aviles, Ernesto
dc.contributor.author	Coma Puig, Bernat
dc.date	2013
dc.identifier.citation	89754
dc.identifier.uri	http://hdl.handle.net/2099.1/20094
dc.language.iso	eng
dc.publisher	Universitat Politècnica de Catalunya
dc.publisher	Leibniz Universität Hannover
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorísmica i teoria de la complexitat
dc.subject	Algorithms
dc.subject	collaborative filtering
dc.subject	ensemble
dc.subject	Top-N recommendation
dc.subject	personalized ranking
dc.subject	given name recommendation
dc.subject	Algorismes
dc.title	Collaborative Filtering Ensemble for Personalized Name Recommendation
dc.type	info:eu-repo/semantics/bachelorThesis
dc.description.abstract	Projecte final de carrera fet a la Leibniz Universität de Hannover. Fakultät für Elektrotechnik und informatik.
dc.description.abstract	Out of thousands of names to choose from, picking the right one for your child is a daunting task. In this thesis, our objective is to help parents make an informed decision while choosing a name for their baby. To this end, we follow a recommender system approach and explore di erent methods for given name recommendation. Our final approach combines, in an ensemble, the individual rankings produced by simple collaborative filtering algorithms in order to produce a personalized list of names that meets the individual parents’ taste.