基于文本质量的文献检索结果的系统聚类

摘要

采用系统聚类的方法对文献数据库的检索结果按其质量进行聚类，并通过实例说明这种方法的可行性和有效性。检索结果经过聚类方法处理后，用户可迅速了解检索结果的质量等级分布，从而对不同等级的检索结果采用不同的阅读方式。这样便能节省用户的阅读时间，提高检索效率。该项研究对今后开发针对检索结果的文本聚类插件奠定了基础。%This paper uses the system clustering method to cluster the retrieval results of the literature database according to their quality, and illustrates the feasibihty and validity of the method by example. After the treatment of the retrieval results with clustering methods, the user can understand the quality grade distribution of the retrieval results quickly, and use different ways to read the retrieval results with different quality grades, thereby saving the users' reading time and improving the retrieval efficiency. The study lays the foundation for the development of the text clustering plug-in for retrieval results in the future.