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Boca Raton, Florida
Nov. 15, 2004 to Nov. 17, 2004
ISBN: 0-7695-2236-X
pp: 535-539
Dan Crow , Unicru, Inc.
John DeSanto , Unicru, Inc.
ABSTRACT
In this paper we describe the Convex system for extracting concepts from r?sum?s 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.
INDEX TERMS
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CITATION
Dan Crow, John DeSanto, "A Hybrid Approach to Concept Extraction and Recognition-Based Matching in the Domain of Human Resources", ICTAI, 2004, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence 2004, pp. 535-539, doi:10.1109/ICTAI.2004.12
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