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Using Singular Value Decomposition (SVD) as a solution for search result clustering

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F08%3A86075664" target="_blank" >RIV/61989100:27240/08:86075664 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using Singular Value Decomposition (SVD) as a solution for search result clustering

  • Original language description

    There are many search engines in the web, but they return a long list of search results, ranked by their relevancies to the given query. Web users have to go through the list and examine the titles and (short) snippets sequentially to identify their required results. In this paper we present how usage of Singular Value Decomposition (SVD) as a very good solution for search results clustering.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2008

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    IIT: 2008 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION TECHNOLOGY

  • ISBN

    978-1-4244-3396-4

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA

  • Place of publication

    NEW YORK

  • Event location

    U ARAB EMIRATES

  • Event date

    Dec 16, 2008

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000274017600015