高校信息系统中信息社会化搜索方法的性能分析

G. Dimitrov, G. Panayotova, I. Garvanov, Bychkov Os, Pavel Petrov, Angel Angelov
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引用次数: 12

摘要

本文分析了辅助大数据集信息搜索的主要方法之一,即基于社会方法的方法的有效性。该方法分析多个用户在搜索信息时的行为,特别是他们使用的关键字。根据得到的结果,可以对组织搜索引擎中的相关算法进行优化。这些研究是根据从保加利亚索非亚图书馆研究和信息技术大学和保加利亚瓦尔纳经济大学两个相对较大的信息系统的数据库中提取的数据进行的。对数值和实验结果进行了分析和讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance analysis of the method for social search of information in university information systems
In this article the effectiveness of one of the main methods for assisting the information search in large data sets is analyzed, namely the method based on the social approach. This method analyzes the behavior of multiple users when searching for information, particularly the keywords they use. Based on the obtained results, the relevant algorithms in the searching engines of the organizations can be optimized. The studies are based on data extracted from the databases of two relatively large information systems based at the University in Library Studies and Information Technologies in Sofia, Bulgaria and University of Economics in Varna, Bulgaria. The numerical and experimental results are analyzed and discussed.
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