摘要
为了实现面向科研群组的精准信息推荐,满足科研人员更方便快捷的获取信息的需求。本文在汇聚知识资源形成群组平台知识圈的基础上,构建群组兴趣模型,计算推荐信息与群组兴趣的相似度,实现了科研资讯和领域监测快报的自动精确推荐,为科研群组平台的可持续发展提供了良好技术支持。
The paper aimed to achieve accurate information recommendation for subject groups,meeting the demand of researchers to obtain information more conveniently and quickly. First,it gathered knowledge resources to build a subject groups platform knowledge circle. Then,it constructed a subject groups interest model and calculated similarity between recommendation information and subject groups interest. Automatic and accurate recommendation of the scientific and technological information and the field monitoring express was realized on Subject Groups Integration Platform,which supported sustainable development of subject groups Integration platform.
作者
王峰
林丽珊
刘毅
Wang Feng;Lin Lishan;Liu Yi(Wuhan Documentation and Information Center of the Chinese Academy of Sciences,Wuhan 430071,China;Guangzhou Institute of Energy Conversion,Chinese Academy of Sciences,Guangzhou 510650,China)
出处
《现代情报》
CSSCI
2018年第7期74-80,共7页
Journal of Modern Information
基金
中国科学院文献情报能力建设专项"全院科研群组平台运行及服务中心"(项目编号:Y6ZG72)
"面向科研群组的精准信息推荐"(项目编号:Y6ZG46)
关键词
群组平台
知识圈
精准信息推荐
subject groups integration plattbnn
knowledge circle
accurate intormation recommendation