Learning Objects Recommendation System: Issues and Approaches for Retrieving, Indexing and Recomend Learning Objects

Learning Objects Recommendation System: Issues and Approaches for Retrieving, Indexing and Recomend Learning Objects

This paper discusses some important issues regarding the the management of Learning objects covering searching over repositories and different approaches of recommendation systems and presents a multiagent system based application model for indexing, retrieving and recommending learning objects stor...

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Bibliographic Details
Main Authors: Ricardo AZAMBUJA SILVEIRA, Rafaela LUNARDI COMARELLA, Ronaldo LIMA ROCHA CAMPOS, Jonas VIAN, Fernando DE LA PRIETA
Format: Article
Language:English
Published: Ediciones Universidad de Salamanca 2016-07-01
Series:Advances in Distributed Computing and Artificial Intelligence Journal
Subjects:
learning objects
repositories
search
recommendationsystems
multiagentsystems
ontology
Online Access:https://revistas.usal.es/index.php/2255-2863/article/view/14830

Internet

https://revistas.usal.es/index.php/2255-2863/article/view/14830

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