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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F07%3A00021225%21RIV11-GA0-27240___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
The requirements imposed on information retrieval systems are increasing steadily. The vast number of documents in today's large databases and especially on World Wide Web causes notable problems when searching for concrete information. It is difficult to find satisfactory information that accurately matches user information needs even if it is present in the database. One of the key elements when searching the web is proper formulation of user queries. Search effectiveness can be seen as the accuracy of matching user information needs against the retrieved information. Personalized search applications can notably contribute to the improvement of web search effectiveness. It has been shown, that genetic programming can evolve search queries towards users interests captured by the means of relevance. In this paper, we propose user modelling technique based on relevance estimation and provide experimental results in web search framework with evolutionary query optimization. The requirements imposed on information retrieval systems are increasing steadily. The vast number of documents in today's large databases and especially on World Wide Web causes notable problems when searching for concrete information. It is difficult to find satisfactory information that accurately matches user information needs even if it is present in the database. One of the key elements when searching the web is proper formulation of user queries. Search effectiveness can be seen as the accuracy of matching user information needs against the retrieved information. Personalized search applications can notably contribute to the improvement of web search effectiveness. It has been shown, that genetic programming can evolve search queries towards users interests captured by the means of relevance. In this paper, we propose user modelling technique based on relevance estimation and provide experimental results in web search framework with evolutionary query optimization.
dcterms:title
Implicit user modelling for query optimization Implicit user modelling for query optimization
skos:prefLabel
Implicit user modelling for query optimization Implicit user modelling for query optimization
skos:notation
RIV/61989100:27240/07:00021225!RIV11-GA0-27240___
n3:aktivita
n12:Z n12:P
n3:aktivity
P(GA201/05/0079), Z(MSM6198910027)
n3:dodaniDat
n16:2011
n3:domaciTvurceVysledku
n9:4347269 Owais, Suhail Sami Jebour n9:9175970 n9:6026877
n3:druhVysledku
n20:D
n3:duvernostUdaju
n14:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
425722
n3:idVysledku
RIV/61989100:27240/07:00021225
n3:jazykVysledku
n19:eng
n3:klicovaSlova
web search, query optimization, used modelling
n3:klicoveSlovo
n5:query%20optimization n5:used%20modelling n5:web%20search
n3:kontrolniKodProRIV
[F39C67BF355B]
n3:mistoKonaniAkce
Regensburg, Germany
n3:mistoVydani
Berlin Heidelberg
n3:nazevZdroje
DEXA 2007
n3:obor
n13:IN
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n6:GA201%2F05%2F0079
n3:rokUplatneniVysledku
n16:2007
n3:tvurceVysledku
Krömer, Pavel Owais, Suhail Sami Jebour Platoš, Jan Snášel, Václav
n3:typAkce
n4:WRD
n3:wos
000250954300028
n3:zahajeniAkce
2007-09-03+02:00
n3:zamer
n17:MSM6198910027
s:numberOfPages
5
n22:hasPublisher
Springer-Verlag. (Berlin; Heidelberg)
n21:isbn
978-3-540-74467-2
n11:organizacniJednotka
27240