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

Abstract

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.

DOI: 10.1109/ICTAI.2004.12

2 Figures and Tables

Cite this paper

@article{Crow2004AHA, title={A hybrid approach to concept extraction and recognition-based matching in the domain of human resources}, author={Dan Crow and John DeSanto}, journal={16th IEEE International Conference on Tools with Artificial Intelligence}, year={2004}, pages={535-541} }