Desenvolvimento de um Modelo Semântico para Recomendação Baseado em Grafos

• Hugo Guércio Fernandes Federal University of Juiz de Fora
• Victor Ströele Federal University of Juiz de Fora

DOI: https://doi.org/10.5753/brasnam.2016.6447

Abstract

Recommender Systems aims to help a user or groups of users in identifying the most relevant items based on their needs. The items may have different characteristics and can be services, products or miscellaneous information. With the growth of data amount, recommender systems are being increasingly studied because it is increasingly difficult to find the desired information due to the available alternatives. This paper proposes and develop a model for a recommender system based on bipartite graphs, formed by semantic information of users and items. This recommendation model was evaluated based on two Proof of Concepts (PoC).

Keywords: Recommender Systems, Semantic Information, Bipartite Graphs

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