Conference proceeding
Evaluating user knowledge in large scale online knowledge communities
The 2nd International Conference on Software Engineering and Data Mining, pp.404-409
06/2010
Abstract
It is an important knowledge management task to evaluate a user's 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.
Details
- Title: Subtitle
- Evaluating user knowledge in large scale online knowledge communities
- Creators
- Xiaomo Liu - Dept. of Comput. Sci., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USAWeiguo Fan - Dept. of Accounting & Inf. Syst., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USAGang Wang - Dept. of Bus. Inf. Technol., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USAJian Jiao - Dept. of Comput. Sci., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
- Resource Type
- Conference proceeding
- Publication Details
- The 2nd International Conference on Software Engineering and Data Mining, pp.404-409
- Publisher
- IEEE
- Language
- English
- Date published
- 06/2010
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380424202771
Metrics
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