DocumentCode :
1782834
Title :
Towards a recommender system for digital resources based on social assessments: Experiment in an educational context
Author :
Delgado Leal, J.L. ; Rodrigo, Covadonga ; Garcia-Serrano, A.
Author_Institution :
ETSI Inf., Univ. Nac. de Educ. a Distancia (UNED), Madrid, Spain
fYear :
2014
fDate :
18-21 June 2014
Firstpage :
1
Lastpage :
6
Abstract :
A quantitative evaluation of digital resources is proposed by employing social labeling and associated characteristic function that improves the retrieval of resources in digital repositories. The social metadata is described; the characteristic function defined, and finally the results obtained by applying the proposed formula on the reviews from different users in an experimental corpus of educational videos are presented.
Keywords :
computer aided instruction; information retrieval; meta data; recommender systems; characteristic function; digital repositories; digital resources; educational context; educational videos; quantitative evaluation; recommender system; resource retrieval; social assessments; social labeling; social metadata; Abstracts; Context; Labeling; Media; Recommender systems; Telecommunication standards; Videos; Application Profile; Characteristic Function; Recommendation; Semantic Web; Social Metadata;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on
Conference_Location :
Barcelona
Type :
conf
DOI :
10.1109/CISTI.2014.6877037
Filename :
6877037
Link To Document :
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