DocumentCode :
3626523
Title :
Implicit User Modelling for Web Search Improvement
Author :
Pavel Kromer;Vaclav Snasel;Jan Platos;Suhail S. J. Owais
Author_Institution :
VSB - Tech. Univ. of Ostrava, Ostrava
fYear :
2007
Firstpage :
309
Lastpage :
314
Abstract :
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.
Keywords :
"Web search","Information retrieval","Search engines","Application software","Databases","Intelligent systems","Computer science","Information technology","Educational institutions","Concrete"
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
Print_ISBN :
0-7695-2976-3;978-0-7695-2976-9
Type :
conf
DOI :
10.1109/ISDA.2007.5
Filename :
4389626
Link To Document :
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