Research on personalization of mobile search engine
Renfa Li · Jisuanji yingyong yanjiu · 2010
Every user has a distinct background and a specific goal when searching for information on the Web. This article presented a new personalized search model based on ontology in order to meet the demand of personali-zation in mobile search. This model could assign a weight for concept in domain ontology by implicitly capturing users’browsing history,then adopt the spreading activation algorithm to maintain and adjust the weights in cor-responding concepts on the basis of users’continually updated access behavior,and translate the results after re-ranking into WAP format to the mobile users’terminal. The experimental results show that the method of re-ranking the Web page based on weights is effictive for improving the experience of mobile users.