Building User Profile based on Concept and Relation for Web Personal ized Services
Jie Yu, Fangfang Liu, Haihong Zhao · 2012
Abstract. How to capture and represent user interest is a key issue in personalized services for Web information seeking. This paper presents a method that builds and updates user profile based on semantics and browsing sequence. First, user profile is composed of concepts and relations, which can ensure the semantic representation of user interest. Secondly, user’s browsing sequence of each Web page in a session is taken into account when the life time of concept and relation are computed. Thirdly, a memory model from cognitive psychology is introduced in updating concepts and relations in user profile after each session is finished, which ensures the dynamics of user profile. Experimental results indicate that this method is valid and effective in building and updating user profile. It can be seen that it has a brilliant perspective in the field of personalized services for Web information seeking.