User attention items recommendation and personalized information service based on “Chinese Sciencepaper Online”

Personalized information service works for different service mode from users´ different needs, to help users obtain resources information quickly, promptly and effectively. Based on `Chinese Sciencepaper Online´, users give the weights according to each item of attention degree that is concerned. This article introduces the user attention, to show the tendency when the user make the choice. We combine together the tendency with the association rules when defining. It will overcome the combination of association rules of credibility of the disadvantage of low accuracy recommended, so as to provide more accurate user recommended attention.