Upgrading web search queries

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Upgrading web search queries

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Upgrading web search queries

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/1ET100300414" target="_blank" >1ET100300414: Inteligentní metody pro zvýšení spolehlivosti elektrických sítí</a><br>

Návaznosti

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

Rok uplatnění

2007

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-0-7695-2932-5

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

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Název nakladatele

IEEE Computer Society

Místo vydání

Los Alamitos, California

Místo konání akce

Regensburg, GERMANY

Datum konání akce

3. 9. 2007

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000250954300027