Implicit User Modelling Using Hybrid Meta-Heuristics

Author

Kromer, Pavel ; Snasel, Vaclav ; Platos, Jan ; Abraham, Ajith

Author_Institution

Dept. of Comput. Sci., VSB - Tech. Univ. of Ostrava, Ostrava

fYear

2008

fDate

10-12 Sept. 2008

Firstpage

42

Lastpage

47

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. In this paper, we investigate two user modelling and search optimization techniques based on genetic algorithms and ant colony optimization.

Keywords

genetic algorithms; information retrieval; user modelling; Web searching; World Wide Web; ant colony optimization; genetic algorithms; hybrid meta-heuristics; implicit user modelling; information retrieval systems; large databases; search optimization techniques; user information; user queries; Ant colony optimization; Computer science; Data analysis; Databases; Hybrid intelligent systems; Information retrieval; Search engines; Web search; Web sites; World Wide Web; ant colony optimization; genetic algorithms; user modelling; web search;

fLanguage

English

Publisher

ieee

Conference_Titel

Hybrid Intelligent Systems, 2008. HIS '08. Eighth International Conference on

Conference_Location

Barcelona

Print_ISBN

978-0-7695-3326-1

Electronic_ISBN

978-0-7695-3326-1

Type

conf

DOI

10.1109/HIS.2008.131

Filename

4626603