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Article

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Title

A concept-driven algorithm for clustering search results

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Year of publication

2005

Published in

IEEE Intelligent Systems

Journal year: 2005 | Journal volume: vol. 20 | Journal number: iss. 3

Article type

scientific article

Publication language

english

Abstract

EN Without search engines, the Internet would be an enormous amount of disorganized information that would certainly be interesting but perhaps not very useful. Search engines help us in all kinds of tasks and are constantly improving result relevance. The Lingo algorithm combines common phrase discovery and latent semantic indexing techniques to separate search results into meaningful groups. It looks for meaningful phrases to use as cluster labels and then assigns documents to the labels to form groups.

Pages (from - to)

48 - 54

DOI

10.1109/MIS.2005.38

URL

https://ieeexplore.ieee.org/document/1439479

Impact Factor

2,56

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