Automatic recommendations for machine-assisted multimedia annotation: a knowledge-mining approach

Authors:
Mónica Díez;Paulo Villegas
Affiliations:
Telefónica I+D, Valladolid, Spain;Telefónica I+D, Valladolid, Spain
Venue:
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
Year:
2007

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Abstract

Recommender systems apply knowledge discovery techniques to help in finding associated information. In this paper, we investigate the use of association rule mining as an underlying technology for a recommender system aimed at improving the annotation process of multi-media news documents. The accuracy of these systems is very sensitive to the number of already annotated news items (the "cold-start"- problem); ontology-based semantic relations are being used to alleviate this situation.