Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/APSCC.2012.47 | APSCC |
Keywords | Field | DocType |
social networks service,rapid development,enterprise micro,pagerank algorithm,precision rate,operational rate,business management,search engines | World Wide Web,Social media,Social network,Ranking,Web page,Business data processing,Computer science,Microblogging,Pagerank algorithm,Business management | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ning Li | 1 | 1 | 0.69 |
| Ke Ning | 2 | 40 | 6.80 |
| Liang-Jie Zhang | 3 | 982 | 138.17 |
| Yan Wang | 4 | 0 | 0.34 |