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