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.
Projecte final de carrera fet a la Leibniz Universität de Hannover. Fakultät für Elektrotechnik und informatik.
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