Title :
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
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;
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
DOI :
10.1109/HIS.2009.178