文本排序的合作博弈论方法

IF 0.3 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
V. Mazalov, V. Khitraya, Andrei V. Khitryi
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引用次数: 0

摘要

提出了一种基于图中心性度量的新闻门户文本语料库排序方法。为每个文本分配一个特定图的顶点,并根据文本的语义连通性确定其结构。作为中心性的度量,Myerson值被用于图上的合作博弈中,其中选取一定长度m的子图中简单路径的个数作为特征函数。对于不同的m值,基于Myerson值的排序会有所不同。对于最终的排名,建议采用基于比赛矩阵的排名程序。通过一个具体的新闻门户的数值例子说明了排序算法的操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative game theory methods for text ranking
A method of ranking the corpus of texts of a news portal, based on measures of graph centrality, is proposed. Each text is assigned a vertex of a certain graph, and its structure is determined based on the semantic connectivity of the texts. As a measure of centrality, the Myerson value is used in a cooperative game on a graph, where the number of simple paths in a subgraph of a certain length m is chosen as a characteristic function For different values of m, the ranking based on the Myerson value will be different. For the final ranking, it is proposed to use the ranking procedure based on the tournament matrix. The operation of the ranking algorithm is illustrated by numerical examples related to a specific news porta.
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来源期刊
CiteScore
1.30
自引率
50.00%
发文量
10
期刊介绍: The journal is the prime outlet for the findings of scientists from the Faculty of applied mathematics and control processes of St. Petersburg State University. It publishes original contributions in all areas of applied mathematics, computer science and control. Vestnik St. Petersburg University: Applied Mathematics. Computer Science. Control Processes features articles that cover the major areas of applied mathematics, computer science and control.
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