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Collaborative Filtering Ensemble for Personalized Name Recommendation
Coma Puig, Bernat
Diaz-Aviles, Ernesto
Projecte final de carrera fet a la Leibniz Universität de Hannover. Fakultät für Elektrotechnik und informatik.
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.
Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorísmica i teoria de la complexitat
Algorithms
collaborative filtering
ensemble
Top-N recommendation
personalized ranking
given name recommendation
Algorismes
info:eu-repo/semantics/bachelorThesis
Universitat Politècnica de Catalunya;
Leibniz Universität Hannover
         

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