Um Sistema de Recomendação Híbrido Integrado a Ontologia em um Ambiente de Aprendizagem Ubíqua

Abstract

Recommendation systems (SR) has the purpose of analyzing a set of items and check which of these are the most relevant to a consumer. For this work was developed a Hybrid SR integrated into an ontology that manages the learner profile information and the contents of the YouTube and Wikipedia databases. For validation, the proposed SR was implemented as a webservice and integrated to the architecture of a ubiquitous learning environment (Edubi), which allowed to be tested by students of a higher education institution through the Edubi-Web and Edubi-Mobile applications. The results obtained after qualitative collection show indications of the feasibility of the proposal.