Towards Ranking in Folksonomies for Personalized Recommender Systems in E-Learning
Key: ARS11-1
Author: Mojisola Anjorin, Christoph Rensing, Ralf Steinmetz
Date: October 2011
Kind: In proceedings
Publisher: CEUR-WS
Book title: Proceedings of the second Workshop on Semantic Personalized Information Management: Retrieval and Recommendation 2011
Keywords: Ranking, Folksonomy, Recommender Systems
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.
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