DocumentCode
2553718
Title
Reputation Metadata for Recommending Personalized e-Learning Resources
Author
Kerkiri, Tania ; Manitsaris, Athanassios ; Mavridou, Anastasia
Author_Institution
Univ. of Macedonia, Thessaloniki
fYear
2007
fDate
17-18 Dec. 2007
Firstpage
110
Lastpage
115
Abstract
Enhancing the e-Learning systems with reputation, a commonly used notion in e-Commerce systems, adds value to the resource. In this paper a RDF-based e-Learning framework that is based on reputation metadata and educational standards is proposed. Morever, the model and the retrieval algorithm of a proper recommendation system are described. This system exploits reputation and description metadata to augment personalization in e-Learning systems through recommendation methods.
Keywords
computer aided instruction; information retrieval; meta data; RDF-based e-learning framework; educational standards; personalised e-learning resources; recommendation system; reputation metadata; retrieval algorithm; Buildings; Collaboration; Electronic learning; Feedback; Filtering algorithms; Informatics; Information filtering; Information filters; Recommender systems; Resource description framework;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Media Adaptation and Personalization, Second International Workshop on
Conference_Location
Uxbridge
Print_ISBN
0-7695-3040-0
Type
conf
DOI
10.1109/SMAP.2007.32
Filename
4414396
Link To Document