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机构地区:[1]湖南农业大学农业信息研究所,湖南长沙410128
出 处:《情报科学》2014年第11期71-76,87,共7页Information Science
基 金:高等学校博士学科点专项科研基金(20114320110001);湖南省科技重大专项第四专题(2013FJ1006-4);湖南省科技计划项目(2014GK3012);湖南省战略性新兴产业科技攻关项目(2014GK1008)
摘 要:推送技术作是实现个性化信息服务的重要途径。然而,其在信息的个性化服务实践中却效果一般,究其原因,是因为推送技术仍旧未能解决用户合理分类和用户兴趣更新这两个关键性问题。针对此问题,本文提出了信息三维具象化及其量化方法,并在此基础上运用数学方法提出了合理的用户兴趣更新和用户分类机制,构建出适合个性化信息推送服务的用户兴趣更新模型、用户兴趣管理模型和用户分类模型。实验表明,此模型分类精度较高,较以往分类方法有一定的改进,为解决信息推送过程中的用户兴趣更新难和用户合理分类难的问题提供了可行之径。Push technology is an important way to realize personalized service. However, its presente deffect in practice of personalized information service is general, actually, it is because push technology still does not resolve the two critical issues, which are user reasonable classification and user interest updating.This paper proposed the method of three-dimensional information specific technology and quantitative technology for these issues, on this basis, the reasonable mechanism of user interest updating and user classification also were proposed with mathematical method, and the user interest updating model, user interest management model and user classification model were constructed to fit for personalized information push service. It has been proved by experimental verification that the user accurate classification model higher classification accuracy than before, provided an approach to solve the issues in interest updating and user reasonable user classification.
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