Title :
A hybrid approach to concept extraction and recognition-based matching in the domain of human resources
Author :
Crow, Dan ; DeSanto, John
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;
Conference_Titel :
Tools with Artificial Intelligence, 2004. ICTAI 2004. 16th IEEE International Conference on
Print_ISBN :
0-7695-2236-X
DOI :
10.1109/ICTAI.2004.12
