QuME: a mechanism to support expertise finding in online help-seeking communities Export

@inproceedings{citeulike:2813437, 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.}, address = {New York, NY, USA}, author = {Zhang, Jun and Ackerman, Mark S. and Adamic, Lada and Nam, Kevin K.}, booktitle = {UIST '07: Proceedings of the 20th annual ACM symposium on User interface software and technology}, citeulike-article-id = {2813437}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1294230}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1294211.1294230}, doi = {10.1145/1294211.1294230}, isbn = {978-1-59593-679-2}, keywords = {expert-finding, social-network}, location = {Newport, Rhode Island, USA}, pages = {111--114}, posted-at = {2009-06-30 10:38:43}, priority = {2}, publisher = {ACM}, title = {QuME: a mechanism to support expertise finding in online help-seeking communities}, url = {http://dx.doi.org/10.1145/1294211.1294230}, year = {2007} }

TY - CONF ID - citeulike:2813437 L3 - citeulike-article-id:2813437 N2 - 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. CY - Newport, Rhode Island, USA SN - 978-1-59593-679-2 AD - New York, NY, USA EP - 114 TI - QuME: a mechanism to support expertise finding in online help-seeking communities PB - ACM T2 - UIST '07: Proceedings of the 20th annual ACM symposium on User interface software and technology SP - 111 KW - expert-finding KW - social-network AU - Zhang, Jun AU - Ackerman, Mark AU - Adamic, Lada AU - Nam, Kevin PY - 2007/// UR - http://dx.doi.org/10.1145/1294211.1294230 ER -