Time based Tag Recommendation using Direct and Extended Users Sets
ECML PKDD Discovery Challenge 2009 (DC09), 497, page 99--107. Bled, Slovenia, CEUR Workshop Proceedings, (September 2009)Abstract
Tagging resources on the Web is a popular activity of standard users. Tag recommendations can help such users assign proper tags and automatically extend the number of annotations available in order to improve, for example, retrieval effectiveness for annotated resources. In this paper we focus on the application of an algorithm designed for Entity Retrieval in the Wikipedia setting. We show how it is possible to map the hyperlink and category structure of Wikipedia to the social tagging setting. The main contribution is a time-based methodology for recommending tags exploiting the structure in the dataset without knowledge about the content of the resources.
