Title :
Expert finding in virtual learning community
Author :
Chen, Jian ; Huang, Jin
Author_Institution :
School of Software Engineering, South China University of Technology, Guangzhou, Guangdong, P.R. China
Abstract :
Virtual learning community has become an important way for people to acquire knowledge in this Internet age. Usually, users post their questions online and wait others to review the post before any answers could be offered. Yet more than often, those who maintain domain knowledge concerning specific questions, which we will call expert, may not be able to notice these questions in time due to the tremendous amount of posts in a forum. This leads to long waiting period for questioners, and even unresolved questions. To tackle this problem, a solution based on forum expert finding is proposed in the paper. The proposed method performs analysis on existed data of forum, attempts to figure out experts in the learning community and therefore provides proactive service for users. It improves efficiency of answering process and eliminates waiting period of users.
Keywords :
Communities; Correlation; Instruction sets; Internet; Libraries; Training; affect analysis; expert finding; virtual learning community;
Conference_Titel :
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-8691-5
DOI :
10.1109/ICEBEG.2011.5881784