Pregled bibliografske jedinice broj: 659271
Hybrid Recommender System for LMS
Hybrid Recommender System for LMS // Society and Technology 2013 - dr. Juraj Plenkovic / Plenković, Mario (ur.).
Zagreb: International Federation of Communication Associations - IFCA, Croatian Communication Association - CCA, Alma Mater Europaea – European Center Maribor (AMA – ECM), 2013. str. 343-349 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 659271 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Hybrid Recommender System for LMS
Autori
Turk, Marko ; Etinger, Darko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
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), 2013, 343-349
ISBN
978-953-6226-25-2
Skup
20. Međunarodni znanstveni skup "Društvo i tehnologija 2013"
Mjesto i datum
Opatija, Hrvatska, 28.06.2013. - 30.06.2013
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Recommender systems ; learning management systems ; online digital library ; technology enabled learning
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Sveučilište Jurja Dobrile u Puli