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Towards Ranking in Folksonomies for Personalized Recommender Systems in E-Learning

Key:ARS11
Author:Mojisola Anjorin, Christoph Rensing, Ralf Steinmetz
Date:October 2011
Kind:In proceedings - use for conference & workshop papers
Publisher:CEUR-WS
Address:http://SunSITE.Informatik.RWTH-Aachen.DE/Publications/CEUR-WS/
Book title:Proceedings of the second Workshop on Semantic Personalized Information Management: Retrieval and Recommendation 2011
Editor:Marco de Gemmis, Ernesto William De Luca, Tommaso Di Noia, Aldo Gangemi, Michael Hausenblas, Pasquale Lops, Thomas Lukasiewicz, Till Plumbaum, and Giovanni Semeraro
Pages:22-25
Volume:781
ISBN:ISSN 1613-0073
Language:English
Keywords:Ranking, Folksonomy, Recommender Systems
Number of characters:1600
Research Area(s):Knowledge Media
Abstract:Recommender systems offer the opportunity for users to no longer have to search for resources but rather have these resources offered to them considering their personal needs and contexts. Additional semantics found in a folksonomy can be exploited to enhance the ranking of resources. These semantics have been analyzed in the CROKODIL scenario and a concept is proposed describing how this semantic information can be integrated in a personalized recommender system for learning purposes.
URL:ceur-ws.org/Vol-781/paper3.pdf
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Prof. Dr.-Ing. Ralf Steinmetz

Technische Universitšt Darmstadt
Fachgebiet Multimedia Kommunikation
Rundeturmstr. 10
64283 Darmstadt
S3/20

+49 6151 16-6150

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