基于PageRank算法的企业微博专家排名

Ning Li, Ke Ning, Liangjie Zhang, Yan Wang
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引用次数: 2

摘要

随着社交网络服务(SNS)的快速发展,企业微日志在企业管理中的重要性逐渐显现。在企业微日志中,如果能够对专家进行准确的搜索和排名,可以大大提高企业的运行率。本文基于Google的PageRank算法,结合企业微博网络上专家的标签,根据专家的影响力对企业微博网络上的专家进行排名。因此,我们可以提高专家搜索结果对用户的准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experts Ranking on the Enterprise Microblogging Based on the PageRank Algorithm
With the rapid development of social networks services (SNS), Enterprise micro logging gradually shows its importance in business management. In the Enterprise Micro logging, If we can Accurately search and rank the experts, it can greatly enhance the operational rate of the Enterprise. In this article, Based on Google's PageRank algorithm, combined with the labels of the expert on enterprise microblogging network, we can rank the experts in the enterprise microblogging network according to the influence of the expert. Therefore, we can improve the precision rate of the expert searching results for the user.
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