Evaluating User Knowledge in Large Scale Online Knowledge Communities
It is an important knowledge management task to evaluate a users domain knowledge in a knowledge community.We present a new domain knowledge representation method that considers both user-document associations and document-topic relevance. We provide three alternative user-document association models with varying syntactic and semantic inferences and two alternative document-topic relevance models with different assumptions on knowledge diffusion. We compare the effectiveness of different knowledge representation methods using the combinations of these alternatives. Using a real data set collected from the Sun forums, we find that the vector space model for user-document association combined with the medium-level diffusion model outperform all other model combinations.
user knowledge topic modeling online communities
Xiaomo Liu Weiguo Fan Gang Wang Jian Jiao
Department of Computer Science Virginia Polytechnic Institute and State University Blacksburg, VA 24 Department of Accounting and Information Systems Virginia Polytechnic Institute and State University Department of Business Information Technology Virginia Polytechnic Institute and State University Bl
国际会议
成都
英文
339-344
2010-06-23（万方平台首次上网日期，不代表论文的发表时间）