Signals of Expertise in Public and Enterprise Social Q&A

Authors

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

DOI:

https://doi.org/10.1609/icwsm.v9i1.14646

Keywords:

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

Abstract

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.

ICWSM-2015 Cover

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Published

2021-08-03

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. https://doi.org/10.1609/icwsm.v9i1.14646

Issue

Vol. 9 No. 1 (2015): Ninth International AAAI Conference on Web and Social Media

Section

Poster Papers