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Investigating Query Similarity Measures for Collaborative Web Search

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F08%3A00021068" target="_blank" >RIV/61989100:27240/08:00021068 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Investigating Query Similarity Measures for Collaborative Web Search

  • Original language description

    The Internet provides an immense source of data. It subiquity, general availability and ease of use make it potentially an ultimate tool to search for information. However,the availability of data does not directly imply the availability of information.Web search engines, sophisticated tools designed to retrieve information from the Internet, could be rather unsatisfactory when dealing with todays size, complexity and dynamic of the web. A series of advanced techniques has been proposed to leverage search services in order to increase the user satisfaction. Collaborative search is an innovative search paradigm based on implicit collaboration and knowledge exchange between inquirers. In this paper, we focus on comparison of several query similarity measures for the use in a collaborative search environment.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA201%2F06%2F0756" target="_blank" >GA201/06/0756: Development of a native storage for XML data</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

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

    IEEE Computer Information Systems and Industrial Management Applications

  • ISBN

    978-0-7695-2894-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Los Alamitos, California

  • Event location

    VŠB - TU Ostrava

  • Event date

    Jun 26, 2008

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000257945400003