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作 者:张旭森 ZHANG Xusen(College of Humanities&Information,Changchun University of Technology,Changchun 130122,China)
机构地区:[1]长春工业大学人文信息学院,吉林长春130122
出 处:《现代电子技术》2020年第9期146-149,共4页Modern Electronics Technique
摘 要:为使图书馆文献个性化推荐结果更符合用户需求,构建基于最大互信息系数的图书馆文献个性化推送系统。系统由用户安全认证模块、文献资源检索模块和文献个性化推送模块等五大模块构成。其中,文献个性化推送模块基于互信息理论思想,先根据用户兴趣度将文献关键词聚类,再采用最大互信息系数判断用户感兴趣文献类别与关键词信息匹配结果关联度,该值越大,表明文献关键词与用户感兴趣文献类别关联性越强,该文献为用户所感兴趣,可将该文献推送给用户,反之,不向用户推送,实现用户图书馆文献的个性化准确推送。测试结果表明,所设计系统可针对用户感兴趣内容,推送出文献数量多、文献内容详细的文献信息,且系统可针对不同用户使用需求推送出大量与关键词相符的文献信息,说明系统的文献个性化推送质量佳,可大范围地应用在高校图书馆中。In order to make the personalized recommendation results of library literature more satisfied with user requirements,a library literature personalized push system based on maximal information coefficient(MIC)is constructed. The system is composed of user security authentication module,literature resource retrieval module,literature personalized push module and other two big modules. The literature personalized push module based on mutual information theory is used to cluster the literature keywords first according to user′s interest degree,and then the maximal information coefficient is adopted to judge the correlation between literature categories that the users are interested in and keywords information matching results. The greater the value is,the stronger the correlation that the literature keywords are related with the categories becomes. It means that the literature can be pushed to the user. On the other hand,the literature cannot be pushed to the user. The personalized accurate push of the library literature is realized. The testing results show that the designed system can push a large number of literatures and literature information with detailed content to users according to their interesting contents,and can push out a large number of literature information associated with the keywords for their different requirements. It means that the personalized push system of literature has good pushing quality,and can be widely used in the university libraries.
关 键 词:图书馆文献检索 文献个性化推送 文献类别判断 推送系统构建 关键词信息匹配 高校图书馆
分 类 号:TN02-34[电子电信—物理电子学] TP391[自动化与计算机技术—计算机应用技术]
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