QuME
Authors:
Open Access
- 7 October 2007
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 111-114
Abstract
Help-seeking communities have been playing an increasingly critical role in the way people seek and share information. However, traditional help-seeking mechanisms of these online communities have some limitations. In this paper, we describe an expertise-finding mechanism that attempts to alleviate the limitations caused by not knowing users' expertise levels. As a result of using social network data from the online community, this mechanism can automatically infer expertise level. This allows, for example, a question list to be personalized to the user's expertise level as well as to keyword similarity. We believe this expertise location mechanism will facilitate the development of next generation help-seeking communities.Keywords
This publication has 5 references indexed in Scilit:
- Expertise networks in online communities2007
- Social matchingACM Transactions on Computer-Human Interaction, 2005
- How open source software works: “free” user-to-user assistanceResearch Policy, 2003
- Bothered by abstraction: The effect of expertise on knowledge transfer and subsequent novice performance.Journal of Applied Psychology, 2001
- Hubs, authorities, and communitiesACM Computing Surveys, 1999