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Upgrading web search queries

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F07%3A00021208" target="_blank" >RIV/61989100:27240/07:00021208 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Upgrading web search queries

  • Original language description

    The amount and variety of information sources, especially on the World Wide Web (WWW), grows and the requirements imposed on search applications are increasing. Search service should provide the users with accurate, sensible responses to their requests.It is difficult to provide information that accurately matches user information needs. Search effectiveness can be seen as the accuracy of matching user information needs against the retrieved information. There are problems emerging: users often do notpresent search queries in the form that optimally represents their information need, the measure of a document's relevance is often highly subjective between different users and information sources might contain heterogeneous documents, in multiple formats and the representation of documents is not unified. In this paper we present a proposal to improve web search effectiveness via evolutionary optimization of Boolean and vector search queries based on individual user models.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1ET100300414" target="_blank" >1ET100300414: Intelligent methods for incresing of reliability of electrical networks</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    DEXA 2007: 18TH INTERNATIONAL CONFERENCE ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS

  • ISBN

    978-0-7695-2932-5

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Los Alamitos, California

  • Event location

    Regensburg, GERMANY

  • Event date

    Sep 3, 2007

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000250954300027