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

机译:基于“中国科技论文在线”的用户关注项目推荐和个性化信息服务

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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.
机译:个性化信息服务可以根据用户的不同需求提供不同的服务模式,以帮助用户快速,迅速,有效地获取资源信息。用户基于“中文在线科学论文”,根据关注的每个项目来权重。本文介绍了用户的注意力,以显示用户做出选择时的趋势。在定义时,我们将趋势与关联规则结合在一起。它将克服组合规则可信度低的可信度推荐的缺点,从而为更准确的用户推荐提供关注。

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