A Personalized Search System Fitted User Preference
Yong Li · Information Sciences · 2008
This paper Introduces optimization research on personalized web search system in the view of user preference,and provides a new query expansion algorithm based on semantic relation tree and intelligent frame of personalized search system fitted user preference.Semantic relation tree can effectively and neatly construct query expansion model.Personalized search system fitted user preference has self-learning ability of user preference.The experimental result shows that the accuracy of text retrieval can be improved efficiently.