Full metadata record
| DC pole | Hodnota | Jazyk |
|---|---|---|
| dc.contributor.author | Grolmus, Petr | |
| dc.date.accessioned | 2016-06-24T07:21:26Z | |
| dc.date.available | 2016-06-24T07:21:26Z | |
| dc.date.issued | 2004 | |
| dc.identifier.uri | http://www.kiv.zcu.cz/publications/ | |
| dc.identifier.uri | http://hdl.handle.net/11025/21604 | |
| dc.format | 39 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en |
| dc.publisher | University of West Bohemia in Pilsen | en |
| dc.rights | © University of West Bohemia in Pilsen | en |
| dc.subject | vyhledávání | cs |
| dc.subject | uživatelský profil | cs |
| dc.subject | algoritmus | cs |
| dc.title | User profile detection based on text mining: technical report no. DCSE/TR-2004-09 | en |
| dc.type | zpráva | cs |
| dc.type | report | en |
| dc.rights.access | openAccess | en |
| dc.type.version | publishedVersion | en |
| dc.description.abstract-translated | The old-fashioned search engine model based usually on Boole´s algebra has become outdated.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.subject.translated | searching | en |
| dc.subject.translated | user profile | en |
| dc.subject.translated | algorithm | en |
| Vyskytuje se v kolekcích: | Zprávy / Reports (KIV) | |
Soubory připojené k záznamu:
| Soubor | Popis | Velikost | Formát | |
|---|---|---|---|---|
| Grolmus.pdf | Plný text | 506,16 kB | Adobe PDF | Zobrazit/otevřít |
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