Title
A fuzzy-based recommender approach for learning objects management systems
Abstract
This paper shows how some fuzzy logic tecniques applied to a recommender engine can be used in a Learning Object Repository. A Fuzzy Linguistic model based on three dimensions: structural, contextual, personal is proposed. The contextual and personal dimensions are modelled using domain ontologies and a automatically built fuzzy ontology, respectively. The experiment results indicate that the presented approach is useful and warrants further research in recommending and retrieval information.
Year
DOI
Venue
2011
10.1109/ISDA.2011.6121786
Intelligent Systems Design and Applications
Keywords
Field
DocType
computer aided instruction,fuzzy logic,information retrieval,ontologies (artificial intelligence),recommender systems,domain ontologies,fuzzy based recommender approach,fuzzy linguistic model,fuzzy logic tecniques,fuzzy ontology,learning object repository,learning objects management systems,recommender engine,recommending information,retrieval information,Fuzzy Logic,Fuzzy Ontology,Learning Object,Recommender Systems
Recommender system,Ontology (information science),Neuro-fuzzy,Computer aided instruction,Information retrieval,Computer science,Fuzzy logic,Learning object,Fuzzy ontology,Artificial intelligence,Management system,Machine learning
Conference
ISSN
ISBN
Citations 
2164-7143
978-1-4577-1676-8
2
PageRank 
References 
Authors
0.39
0
7