Generation of Semantic Interactive Environment for Personalized Search
Jie Yu, Jie Gong, Fangfang Liu · 2011
With the development of Internet, personalized services have been widely used. Especially, personalized search are getting more and more attention. Aiming at improving the effectiveness of existing methods of personalized search, this paper proposes a method of generating interactive environment which provides semantic background for a search session. Interactive environment involves two aspects of semantic information, refined user's browsing history and his/her new browsed contents. By regarding user's search activity as a continuous process, user's interest changes in a search session can be accurately captured. In addition, interactive environment evolves based on user's interaction with Web by interactive computing to ensure its dynamics. Experimental results demonstrate the effectiveness of our method. It can be seen that this method is greatly promising in the field of personalized search.