Signals of Expertise in Public and Enterprise Social Q&A


  • Shimei Pan University of Maryland, Baltimore County (UMBC)
  • Elijah Mayfield LightSIDE Labs
  • Jie Lu IBM Research
  • Jennifer Lai IBM Research



Social Q&A, Expertise, Enterprise, Answer quality, Social Media, Knowledge Sharing


The success of internet social question-answering (Q&A) sites has led businesses to attempt to duplicate this model in- ternally. In such systems, demand for expertise is high, mean- ing that finding high-quality answers quickly is a top priority. Prior work on expertise discovery, though, has focused on high-traffic public websites like StackExchange. Here, we show that the most predictive metadata features from public websites do not transfer well to the enterprise.




How to Cite

Pan, S., Mayfield, E., Lu, J., & Lai, J. (2021). Signals of Expertise in Public and Enterprise Social Q&A. Proceedings of the International AAAI Conference on Web and Social Media, 9(1), 670-673.