Gábor Rácz, Attila Sali, Klaus-Dieter Schewe,
"Semantic Matching Strategies for Job Recruitment: A Comparison of New and Known Approaches"
, in Gyssens, Marcand Simari, Guillermo: Foundations of Information and Knowledge Systems: 9th International Symposium, FoIKS 2016, Linz, Austria, March 7-11, 2016. Proceedings, Vol. 9616, Springer International Publishing, Cham, Seite(n) 149-168, 2016, ISBN: 978-3-319-30024-5
Original Titel:
Semantic Matching Strategies for Job Recruitment: A Comparison of New and Known Approaches
Sprache des Titels:
Englisch
Original Buchtitel:
Foundations of Information and Knowledge Systems: 9th International Symposium, FoIKS 2016, Linz, Austria, March 7-11, 2016. Proceedings
Original Kurzfassung:
A profile describes a set of skills a person may have or a set of skills required for a particular job. Profile matching aims to determine how well a given profile fits to a requested profile. The research reported in this paper starts from exact matching measure of [21]. It is extended then by matching filters in ontology hierarchies, since profiles naturally determine filters in the subsumption relation. Next we take into consideration similarities between different skills that are not related by the subsumption relation. Finally, a totally different approach, probabilistic matching based on the maximum entropy model is analyzed.
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