A User Motivation Model for Web Search Engine

Author

Wang, Chuan ; Chang, Guiran ; Wang, Xingwei ; Ma, Yan ; Ma, Haitao

Author_Institution

Inf. Sci. & Eng., Northeastern Univ. Shenyang, Shenyang, China

Volume

2

fYear

2009

fDate

12-14 Aug. 2009

Firstpage

327

Lastpage

331

Abstract

In this paper, we propose a user motivation model for Web search engines. We construct the user motivation model to assist the Web search engines, so that the efficiency and accuracy rate of information retrieval can be improved. The user motivation model combines the similar behavior models of the users based on the theory of anthroponomy and displays the returned results according to the clustering results and representation to achieve personalization. Experiments show that the returned results by the proposed system can better meet the requirements of the users.

Keywords

human factors; information retrieval; search engines; Web search engine; anthroponomy theory; information retrieval; personalization clustering; personalization representation; user motivation model; Clustering algorithms; Displays; Hybrid intelligent systems; Information retrieval; Information science; Information technology; Internet; Mars; Search engines; Web search; Anthroponomy; Behavior Model; Engine; Motivation Model; Personalization;

fLanguage

English

Publisher

ieee

Conference_Titel

Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on

Conference_Location

Shenyang

Print_ISBN

978-0-7695-3745-0

Type

conf

DOI

10.1109/HIS.2009.178

Filename

5254476