Knowledge and Data Management White Papers
Ranking and Suggesting Tags in Collaborative Tagging Applications
Overview This paper considers collaborative tagging systems where users can attach tags to information objects. Such systems are widely used to add keywords meta-data to photos, videos, or web pages (social bookmarking applications). The meta-data is then used by information retrieval mechanism to provide accurate query answers. To that end, the goal of collaborative tagging systems is to quickly discover the true ranking of a tag for an information object with respect to a given ranking criteria. This paper also considers the popularity rank as ranking criteria. Many collaborative tagging systems help users tagging of an object by making suggestions based on the tagging history of an information object.
| Publisher | Microsoft | File Format | |
|---|---|---|---|
| Date Published | February 2007 | ||
| Format | White Papers | ||
| Topics | |||
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