Title :
Automatically identifying experts in on-line support forums using social interactions and post content
Author :
Munger, Tyler ; Jiabin Zhao
Author_Institution :
Baskin Sch. of Eng., Univ. of California Santa Cruz, Santa Cruz, CA, USA
Abstract :
On-line support forums are a common method for businesses to provide product support for customers. The utility of these forums are typically determined by a small number of expert users who provide a large percentage of the high quality answers. The automatic identification of these experts would enable businesses to more effectively manage their support forums, reduce costs, and provide better solutions to customer problems.
Keywords :
business data processing; unsupervised learning; automatic identification; customer problems; online support forums; post content; product support; social interactions; Aging; Communication networks; Communities; Conferences; Security; Social network services; Software;
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on
Conference_Location :
Beijing
DOI :
10.1109/ASONAM.2014.6921697