我国检索模型研究的文献计量分析

摘要

The paper takes CNKI as data source, makes a statistical analysis on papers on retrieval models in 2004-2013, and an-alyzes number of papers, journals, coauthors and keywords with the aid of visualization tool Pajek. It considers that research hotspots in the field includes vector space model, semantic retrieval model, belief network retrieval model, user interest retrieval model, genetic al-gorithm retrieval model, rough set theory retrieval model, case retrieval model and extension pattern P nBL model, and points out that their application remains to be further popularized.%以CNKI为数据源，对2004-2013年国内检索模型的研究论文进行计量学统计，结合Pajek可视化工具，对发文量、载文期刊、作者合作情况、关键词等进行分析。认为向量空间模型、语义检索模型、信念网络检索模型、用户兴趣检索模型、遗传算法检索模型、粗糙集理论检索模型、实例检索模型以及扩展模式PnBL模型等检索模型的研究是该领域研究热点，并指出其应用还有待进一步推广。