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Performance analysis of the method for social search of information in university information systems

机译:大学信息系统信息社会搜索方法的性能分析

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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.
机译:在本文中,分析了在大数据集中辅助信息搜索的主要方法之一的有效性,即基于社交方法的方法。此方法在搜索信息时分析多个用户的行为,特别是它们使用的关键字。根据所获得的结果,可以优化组织的搜索引擎中的相关算法。该研究基于基于位于保加利亚瓦尔纳的索非亚,保加利亚和经济学大学的图书馆学习和信息技术的两个相对大型信息系统的数据库中提取的数据。分析并讨论了数值和实验结果。

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