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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 not present 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.
  • 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 not present 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. (en)
Title
  • Upgrading web search queries
  • Upgrading web search queries (en)
skos:prefLabel
  • Upgrading web search queries
  • Upgrading web search queries (en)
skos:notation
  • RIV/61989100:27240/07:00021208!RIV11-AV0-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100300414), Z(MSM6198910027)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 456709
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/07:00021208
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • query optimization, genetic algorithms (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [583D2BA9474E]
http://linked.open...v/mistoKonaniAkce
  • Regensburg, GERMANY
http://linked.open...i/riv/mistoVydani
  • Los Alamitos, California
http://linked.open...i/riv/nazevZdroje
  • DEXA 2007: 18TH INTERNATIONAL CONFERENCE ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Krömer, Pavel
  • Snášel, Václav
  • Owais, Suhail Sami Jebour
  • Maleki-Dizaji, S.
  • Nyongesa, Henry O.
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000250954300027
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society
https://schema.org/isbn
  • 978-0-7695-2932-5
http://localhost/t...ganizacniJednotka
  • 27240
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