DocumentCode :
3538817
Title :
Experts Ranking on the Enterprise Microblogging Based on the PageRank Algorithm
Author :
Ning Li ; Ke Ning ; LiangJie Zhang ; Yan Wang
Author_Institution :
Kingdee Res., Shenzhen, China
fYear :
2012
fDate :
6-8 Dec. 2012
Firstpage :
345
Lastpage :
349
Abstract :
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.
Keywords :
Web sites; business data processing; search engines; Google PageRank algorithm; SNS; business management; enterprise microblogging network; expert searching; experts ranking; social networks services; Business; Communities; Erbium; Google; Social network services; Vectors; Web pages; Enterprise microblogging; Expert ranking; PageRank algorithm; tag;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing Conference (APSCC), 2012 IEEE Asia-Pacific
Conference_Location :
Guilin
Print_ISBN :
978-1-4673-4825-6
Type :
conf
DOI :
10.1109/APSCC.2012.47
Filename :
6478240
Link To Document :
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