向量空间模型在医学文献相关性研究中的应用

Application of Vector Space Model in the Similarity Research of Medical Literature

为提高医学文献检索的效率和检索结果输出的有效性,快速客观地为科研人员提供高信度、低冗余的参考文献,实现检索结果按相关度排序输出,就基于向量空间模型的文献相关度计算方案进行探讨,提出基于相关度的医学文献聚类分析和相关度排序。

In order to improve the precision and the quality of the literature retrieval, this paper explores similarity computing scheme based on Vector Space Model （VSM）, and describes the clustering algorithm of biomedical literature on the basis of similarity model. Applying the method of similarity algorithm and cluster analysis, the searched papers can be ranked by degree of similarity.