摘要
随着文献资源的急剧增长和用户需求的不断深化,数据超载现象日益严重,文献检索排序中有必要结合论文重要性来进行。借鉴PageRank算法思想,提出了面向检索的论文重要度指标并进行了实证。研究表明,在考虑了时间因素和期刊影响因子后,论文重要度指标能很好地对文献检索结果进行排序,有利于减轻信息冗余现象,提高文献检索效率。
With the rapid growth of document resources and the constant deepening of user demand, the phenomenon of data overload becomes more and more serious. It＇ s necessary to combine with the importance of thesis to sort document retrieval results. Using PageRank algorithm for reference, this paper puts forward an indicator of the importance of thesis for document retrieval, and makes an empirical study. The studies show that the indicator can be used to sort the document retrieval results very well after taking into account the time factor and the journal impact factor, which helps to reduce information redundancy and improve the efficiency of document retrieval.
出处
《情报理论与实践》
CSSCI
北大核心
2009年第10期78-81,共4页
Information Studies:Theory & Application
基金
国家社会科学基金项目"基于引文的知识链接服务研究"的成果之一
项目编号:08BTQ022
关键词
文献检索
论文重要度
影响因子
影响因子
算法
document retrieval
importance of thesis
impact facfor
impact factor
algorithm
