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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 the literature resources and the deepening of the users’ needs, the phenomenon of data overloading is becoming more and more serious. It is necessary to combine the importance of the papers in the literature search ranking. Draw lessons from PageRank algorithm idea, put forward index-oriented importance index of thesis and carry out empirical research. The research shows that after considering the time factor and periodical impact factor, the thesis importance index can well sort the document retrieval results, which is beneficial to reduce the information redundancy and improve the efficiency of document retrieval.