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2012 IEEE 24th International Conference on Tools with Artificial Intelligence (2004)
Boca Raton, Florida
Nov. 15, 2004 to Nov. 17, 2004
ISSN: 1082-3409
ISBN: 0-7695-2236-X
pp: 535-539
John DeSanto , Unicru, Inc.
Dan Crow , 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
John DeSanto, Dan Crow, "A Hybrid Approach to Concept Extraction and Recognition-Based Matching in the Domain of Human Resources", 2012 IEEE 24th International Conference on Tools with Artificial Intelligence, vol. 00, no. , pp. 535-539, 2004, doi:10.1109/ICTAI.2004.12
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