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Erschienen in:
2004 | OriginalPaper | Buchkapitel
Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition
verfasst von : Stanisław Osiński, Jerzy Stefanowski, Dawid Weiss
Erschienen in: Intelligent Information Processing and Web Mining
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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Search results clustering problem is defined as an automatic, on-line grouping of similar documents in a search results list returned from a search engine. In this paper we present Lingo—a novel algorithm for clustering search results, which emphasizes cluster description quality. We describe methods used in the algorithm: algebraic transformations of the term-document matrix and frequent phrase extraction using suffix arrays. Finally, we discuss results acquired from an empirical evaluation of the algorithm.