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层次分析算法及优化在网络视频评比中的实践
引用本文:李凡,杜义华. 层次分析算法及优化在网络视频评比中的实践[J]. 计算机系统应用, 2018, 27(7): 250-254
作者姓名:李凡  杜义华
作者单位:中国科学院 计算机网络信息中心, 北京 100190;中国科学院大学, 北京 100049,中国科学院 计算机网络信息中心, 北京 100190
摘    要:随着新媒体时代的到来,网络信息传播变得更加便捷,很多单位开展了视频网上评比活动,但往往对其缺少合理快捷的评估方法.本文通过分析视频网上评比的影响因素,构建出多指标的层次分析模型.文章介绍了层次分析法及其基于PageRank的优化算法的主要步骤,利用它求出各评比指标的权值,从而给出评比计算方法.本文的研究方法为处理多指标问题提供了一些参考价值.

关 键 词:视频评比  分析模型  层次分析法  PageRank算法  权重值
收稿时间:2017-11-07
修稿时间:2017-11-27

Practical Application of Analytic Hierarchy Process and Optimization in Online Video Evaluation
LI Fan and DU Yi-Hua. Practical Application of Analytic Hierarchy Process and Optimization in Online Video Evaluation[J]. Computer Systems& Applications, 2018, 27(7): 250-254
Authors:LI Fan and DU Yi-Hua
Affiliation:Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China;University of Chinese Academy of Sciences, Beijing 100049, China and Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
Abstract:With the coming of New Media Era, the spread of network information has become more extensive. Many online video evaluation activities were carried out by some institutions, while an evaluation method with rationality and fastness is lacked. In this study, we establish the hierarchial analysis model of many index signs on the basis of analyzing factors of online evaluation. The major steps of AHP and further PageRank optimization method are provided, which can be used to calculate weight values of index and obtain the final ratings. These research methods have certain reference values to dealing with multipleindexes appraisement.
Keywords:video rating  evaluation model  analytic hierarchy process  PageRank algorithm  weight value
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