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SAMT
2007
Springer

Automatic Recommendations for Machine-Assisted Multimedia Annotation: A Knowledge-Mining Approach

12 years 6 months ago
Automatic Recommendations for Machine-Assisted Multimedia Annotation: A Knowledge-Mining Approach
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 multimedia 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.
Mónica Díez, Paulo Villegas
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where SAMT
Authors Mónica Díez, Paulo Villegas
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