DocumentCode
2221824
Title
A hybrid approach to concept extraction and recognition-based matching in the domain of human resources
Author
Crow, Dan ; DeSanto, John
fYear
2004
fDate
15-17 Nov. 2004
Firstpage
535
Lastpage
541
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.
Keywords
business data processing; employment; human resource management; information retrieval; knowledge acquisition; knowledge based systems; pattern matching; personnel; Convex system; concept extraction; human resource; information extraction; knowledge-based extraction; recognition-based matching; speculative concept extraction; Business; Costs; Data mining; History; Humans; Recruitment; Resumes; Search engines; Terminology; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2004. ICTAI 2004. 16th IEEE International Conference on
ISSN
1082-3409
Print_ISBN
0-7695-2236-X
Type
conf
DOI
10.1109/ICTAI.2004.12
Filename
1374234
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