QuME: A Mechanism to Support Expertise Finding in Online Help-seeking Communities
Title | QuME: A Mechanism to Support Expertise Finding in Online Help-seeking Communities |
Publication Type | Conference Paper |
Year of Publication | 2007 |
Authors | Zhang, J, Ackerman, MS, Adamic, LA, Nam, KK |
Conference Name | Proceedings of the 20th Annual ACM Symposium on User Interface Software and Technology (UIST'07) |
Pagination | 111–114 |
Date Published | 10/2007 |
Keywords | cscw, 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. |
URL | Complete |