中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Learning to Rank Sports Teams on a Graph

文献类型:期刊论文

作者Shi, Jian1,2; Tian, Xin-Yu2,3
刊名APPLIED SCIENCES-BASEL
出版日期2020-09-01
卷号10期号:17页码:10
关键词sports ranking graph model prediction basketball
DOI10.3390/app10175833
英文摘要To improve the prediction ability of ranking models in sports, a generalized PageRank model is introduced. In the model, a game graph is constructed from the perspective of Bayesian correction with game results. In the graph, nodes represent teams, and a link function is used to synthesize the information of each game to calculate the weight on the graph's edge. The parameters of the model are estimated by minimizing the loss function, which measures the gap between the predicted rank obtained by the model and the actual rank. The application to the National Basketball Association (NBA) data shows that the proposed model can achieve better prediction performance than the existing ranking models.
WOS研究方向Chemistry ; Engineering ; Materials Science ; Physics
语种英语
WOS记录号WOS:000570141600001
出版者MDPI
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/52187]  
专题中国科学院数学与系统科学研究院
通讯作者Tian, Xin-Yu
作者单位1.Huaqiao Univ, Sch Stat, Xiamen 361021, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Shi, Jian,Tian, Xin-Yu. Learning to Rank Sports Teams on a Graph[J]. APPLIED SCIENCES-BASEL,2020,10(17):10.
APA Shi, Jian,&Tian, Xin-Yu.(2020).Learning to Rank Sports Teams on a Graph.APPLIED SCIENCES-BASEL,10(17),10.
MLA Shi, Jian,et al."Learning to Rank Sports Teams on a Graph".APPLIED SCIENCES-BASEL 10.17(2020):10.

入库方式: OAI收割

来源:数学与系统科学研究院

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