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Maximizando o Conhecimento sobre o Usuário com o Mínimo de Informação Disponibilizada

Byron Leite Dantas BezerraFrancisco de Assis Tenório Carvalho

Recommender Systems furnish personalized suggestions based on user needs. In order to accomplish this task, some user preferences must be acquired. Next, information-filtering techniques are used to recommend new items. They are classified according to one of the three approaches: Content Based Filtering, Collaborative Filtering and Hybrid Filtering. This paper presents a new hybrid filtering approach getting the better qualities of the kNN Collaborative Filtering method with the content filtering one based on Modal Symbolic Data. This new approach outperforms, concerning the Find Good Items task measured by half-life utility metric, other three approaches.

http://www.lbd.dcc.ufmg.br/colecoes/enia/2005/095.pdf

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