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基于概念格的微博检索结果二次组织的模型构建 被引量:1

Construction of the Secondary Organization Model of Micro-blog Retrieval Result Based on Concept Lattice
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摘要 现有的微博检索平台将包含检索词的所有微博按照用户发布的时间逆序输出,用户从返回的结果页面一页页地查找微博文档,需要花费较多时间。为了解决微博检索平台查准率低和结果呈现不够友好的问题,文章引入概念格理论,提出了基于概念格理论的微博检索结果的二次组织模型,并详细说明了微博检索结果概念格的构造过程,设计实验证明了该模型的可行性和有效性。 The existing micro-blog retrieval platform reverse outputs the retrieval resuh according to the users publish time. Users need to take too much time to check the micro-blog documents from page to page. In order to solve the problems of low pertinency ratio and unfriendly result presentation of micro-blog retrieval platform, this paper introduces the concept lattice theory. Then, the paper proposes the secondary organization model of micro-blog retrieval result based on concept lattice and de- scribes the construction process of the concept lattice of miero-blog retrieval result in detail. Finally, the paper designs experiment to prove the feasibility and validity of the model.
出处 《情报理论与实践》 CSSCI 北大核心 2014年第10期115-120,共6页 Information Studies:Theory & Application
基金 国家自然科学基金项目"社会化媒体集成检索与语义分析方法研究"的成果 项目编号:71273194
关键词 微博 概念格 检索结果 聚类 micro-blog concept lattice retrieval resuh clustering
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参考文献13

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