|Title:||User profile detection based on text mining: technical report no. DCSE/TR-2004-09|
|Publisher:||University of West Bohemia in Pilsen|
|Keywords in different language:||searching;user profile;algorithm|
|Abstract in different language:||The old-fashioned search engine model based usually on Boole´s algebra has become outdated.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.|
|Rights:||© University of West Bohemia in Pilsen|
|Appears in Collections:||Zprávy / Reports (KIV)|
Please use this identifier to cite or link to this item:
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.