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)|
|Keywords||cscw, expertise finding, expertise location, social networks|
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.