QuME: A Mechanism to Support Expertise Finding in Online Help-seeking Communities

TitleQuME: A Mechanism to Support Expertise Finding in Online Help-seeking Communities
Publication TypeConference Paper
Year of Publication2007
AuthorsZhang, J, Ackerman, MS, Adamic, LA, Nam, KK
Conference NameProceedings of the 20th Annual ACM Symposium on User Interface Software and Technology (UIST'07)
Pagination111–114
Date Published10/2007
Keywordscscw, expertise finding, expertise location, social networks
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.

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