ISSN 1008-2204
CN 11-3979/C

教育资源库检索结果的评价技术研究

刘剑, 郑晓齐

刘剑, 郑晓齐. 教育资源库检索结果的评价技术研究[J]. 北京航空航天大学学报社会科学版, 2003, 16(3): 71-74.
引用本文: 刘剑, 郑晓齐. 教育资源库检索结果的评价技术研究[J]. 北京航空航天大学学报社会科学版, 2003, 16(3): 71-74.
LIU Jian, ZHENG Xiao-qi. Assessment Technique for Retrieval Results from Educational Resource Database[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2003, 16(3): 71-74.
Citation: LIU Jian, ZHENG Xiao-qi. Assessment Technique for Retrieval Results from Educational Resource Database[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2003, 16(3): 71-74.

教育资源库检索结果的评价技术研究

详细信息
    作者简介:

    刘剑(1978-),男,山东菏泽人,硕士研究生.

  • 中图分类号: G354.47

Assessment Technique for Retrieval Results from Educational Resource Database

  • 摘要: 对教育资源库的检索结果评价是各种教育资源库检索性能评价方案中最直接的方法。该文在总结目前教育资源库的四种主流检索方式的基础上,分析了传统信息检索的特征,结合教育资源库的网络化、海量化发展趋势,借鉴网络搜索引擎评价技术中的“相关性范畴”和“前X命中纪录查准率”概念,提出了一种基于考察替代查准率来对教育资源库检索结果进行评价的方法。
    Abstract: Assessment of the retrieval results from the educational resource database (ERD) is the most direct method among various different retrieval assessment precepts. Based on the review of the current mainstream methods in the field of ERD retrieval methods, this paper analyzes the characteristics of the traditional information retrieval. Moreover, taking the concepts of "Relevant Category" and "Precision(X)" as reference, a method through which assessment of retrieval results from ERD can be conducted is also presented in this paper, with regard to the rapid development of network and data massiness.
  • [1] 高星.计算机信息存储与检索[M].安徽:中国科学技术大学出版社,1995.86-110.
    [2] 陶跃华,孙茂松.搜索引擎搜索结果的评价技术[J].情报科学,2001,19(8).
    [3] H. Vernon Leighton, Jaideep Srivastava. Precision among World Wide Web Search Services (Search Engines): Alta Vista, Excite, Hotbot, Infoseek, Lycos.
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出版历程
  • 收稿日期:  2002-11-05
  • 发布日期:  2003-09-24

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