User profile detection based on text mining: technical report no. DCSE/TR-2004-09

Show simple item record
dc.contributor.authorGrolmus, Petr
dc.date.accessioned2016-06-24T07:21:26Z
dc.date.available2016-06-24T07:21:26Z
dc.date.issued2004
dc.description.abstract-translatedThe old-fashioned search engine model based usually on Boole´s algebra has become outdated. Current systems tend to meet users (customers) needs more precisely and hence they have to improve their basis. The searching process has to be based on deeper knowledge of individual user preferences - i.e. on user profiles. This work presents an overview of recommender and expert finding systems. It also introduces the ProGen System rising at the University of West Bohemia. For the characteristic phrases selection from document collections is used the STC algorithm. Our system is able to work with multi-lingual document collections. A developed document language recognition is based on stop-word occurrence. We have developed a stemming algorithm combining both the dictionary-based and algorithm-based method. Finally, an outlook for the future work is sketched out.en
dc.format39 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://www.kiv.zcu.cz/publications/
dc.identifier.urihttp://hdl.handle.net/11025/21604
dc.language.isoenen
dc.publisherUniversity of West Bohemia in Pilsenen
dc.rights© University of West Bohemia in Pilsenen
dc.rights.accessopenAccessen
dc.subjectvyhledávánícs
dc.subjectuživatelský profilcs
dc.subjectalgoritmuscs
dc.subject.translatedsearchingen
dc.subject.translateduser profileen
dc.subject.translatedalgorithmen
dc.titleUser profile detection based on text mining: technical report no. DCSE/TR-2004-09en
dc.typezprávacs
dc.typereporten
dc.type.versionpublishedVersionen

Files

Original bundle
Showing 1 - 1 out of 1 results
No Thumbnail Available
Name:
Grolmus.pdf
Size:
506.16 KB
Format:
Adobe Portable Document Format
Description:
Plný text
Download
License bundle
Showing 1 - 1 out of 1 results
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Reports (KIV)