Název:	User profile detection based on text mining: technical report no. DCSE/TR-2004-09
Autoři:	Grolmus, Petr
Datum vydání:	2004
Nakladatel:	University of West Bohemia in Pilsen
Typ dokumentu:	zpráva report
URI:	http://www.kiv.zcu.cz/publications/ http://hdl.handle.net/11025/21604
Klíčová slova:	vyhledávání;uživatelský profil;algoritmus
Klíčová slova v dalším jazyce:	searching;user profile;algorithm
Abstrakt v dalším jazyce:	The old-fashioned search engine model based usually on Boole´s algebra has become outdated.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.
Práva:	© University of West Bohemia in Pilsen
Vyskytuje se v kolekcích:	Zprávy / Reports (KIV)

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