DocumentCode
1660130
Title
Expertise Prediction for Social Network Platforms to Encourage Knowledge Sharing
Author
Raj, Nidhi ; Dey, Lipika ; Gaonkar, Bhakti
Author_Institution
TCS Innovation Labs. Delhi, Delhi, India
Volume
1
fYear
2011
Firstpage
380
Lastpage
383
Abstract
Knowledge sharing social platforms where users mutually benefit through question-answering are gaining popularity. The success of these platforms on the web has led to their adoption within the firewalls of enterprises also. In this paper we have presented some in-depth study about two such platforms -- one open on the web and one which is within an enterprise to identify the similarities and dissimilarities of user behavior in the two platforms. We have proposed an algorithm to predict experts to improve the effectiveness of such platforms.
Keywords
authorisation; knowledge management; question answering (information retrieval); social networking (online); firewalls; knowledge sharing social platform; question-answering; social network; user behavior; Communities; Conferences; Correlation; Data mining; Knowledge engineering; Social network services; Uninterruptible power systems; Attrition rate; Expertise prediction; Hubs; Propensity to answer;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
Conference_Location
Lyon
Print_ISBN
978-1-4577-1373-6
Electronic_ISBN
978-0-7695-4513-4
Type
conf
DOI
10.1109/WI-IAT.2011.93
Filename
6040743
Link To Document