Hybrid Recommender System for LMS (CROSBI ID 603492)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Turk, Marko ; Etinger, Darko
engleski
Hybrid Recommender System for LMS
Recommender systems have been widely used in many internet activities and services, mainly to overcome the information overload problem. Some of those activities which are related to e- commerce, web searching, digital library systems and censorship systems (Jannach et al. 2010) may be used for recommendations of available adequate and associated learning resources in learning management solutions. The goal of this article is a conceptual hybrid recommender system for LMS proposal. Combination of some of well-known recommender system approaches (Burke at al. 2007, Ricci et al. 2011) in before mentioned activities may be used for recommendation of suitable learning resources based on content, context and demographics of a learner, boosting the effectiveness of learning management solutions. Specifically, this conceptual hybrid recommender system proposal for LMS allows individualized real-time recommendations to find adequate and associated learning objects from multiple learning management systems as well as suitable multiple online digital library resources according to learners' demographics that could be of great use to successfully acquire knowledge of currently enrolled courses in LMS.
Recommender systems ; learning management systems ; online digital library ; technology enabled learning
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Podaci o prilogu
343-349.
2013.
objavljeno
Podaci o matičnoj publikaciji
Society and Technology 2013 - dr. Juraj Plenkovic
Plenković, Mario
Zagreb: International Federation of Communication Associations - IFCA, Croatian Communication Association - CCA, Alma Mater Europaea – European Center Maribor (AMA – ECM)
978-953-6226-25-2
Podaci o skupu
20. Međunarodni znanstveni skup "Društvo i tehnologija 2013"
predavanje
28.06.2013-30.06.2013
Opatija, Hrvatska