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.
['Chuan Wang', 'Guiran Chang', 'Xingwei Wang', 'Yan Ma', 'Haitao Ma']
A User Motivation Model for Web Search Engine