A hybrid approach to concept extraction and recognition-based matching in the domain of human resources

@article{Crow2004AHA,
  title={A hybrid approach to concept extraction and recognition-based matching in the domain of human resources},
  author={Daniel Crow and John B. DeSanto},
  journal={16th IEEE International Conference on Tools with Artificial Intelligence},
  year={2004},
  pages={535-541}
}
  • Daniel Crow, J. DeSanto
  • Published 15 November 2004
  • Economics
  • 16th IEEE International Conference on Tools with Artificial Intelligence
We describe the Convex system for extracting concepts from resumes and subsequently matching the best qualified candidates to jobs. A blend of knowledge-based and speculative concept extraction provides high quality results even outside the scope of the built-in knowledge. A comparison test shows the results found by Convex are significantly better than those found by engines using a keyword or statistical conceptual approach. 

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