Abstract | ||
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The subject of this paper is the semi-automatic construction of taxonomies over the Web. We address the problem of discovering high-quality resources that belong in a partic ular node of a taxonomy. We show that minimal additional effort is required to provide relevance feedback in a hyperl inked environment, resulting in significant and consistent improvement in quality. Furthermore, this feedback is especially valuable for topics for which it is more difficult to find high-quality pages. Enroute, we describe novel algorit hms for hyperlink relevance feedback. |
Year | Venue | Keywords |
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2001 | WebDB | taxonomy construction,ontology,link relevance feedback |
Field | DocType | Citations |
World Wide Web,Information retrieval,Computer science | Conference | 14 |
PageRank | References | Authors |
1.13 | 8 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ravi Kumar | 1 | 13932 | 1642.48 |
Prabhakar Raghavan | 2 | 13351 | 2776.61 |
Sridhar Rajagopalan | 3 | 4527 | 1036.34 |
Andrew Tomkins | 4 | 9388 | 1401.23 |