Candidate Classification and Skill Recommendation in a CV Recommender System (CROSBI ID 696206)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kurdija, Adrian Satja ; Afrić, Petar ; Šikić, Lucija ; Plejić, Boris ; Šilić, Marin ; Delač, Goran ; Vladimir, Klemo ; Srbljić, Siniša
engleski
Candidate Classification and Skill Recommendation in a CV Recommender System
In this paper, we describe a CV recommender system with a focus on two properties. The first property is the ability to classify candidates into roles based on automatic processing of their CV documents. The second property is the ability to recommend skills to a candidate which are not listed in their CV, but the candidate is likely to have them. Both features are based on skills extraction from a textual CV document. A spectral skill clustering is precomputed for the purpose of candidate classification, while skill recommendation is based on various similarity-based strategies. Experimental results include both automatic experiments and an empirical study, both of which demonstrate the effectiveness of the presented methods.
Recommender systems ; Skill recommendation ; Spectral clustering ; Classification
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Podaci o prilogu
30-44.
2020.
objavljeno
10.1007/978-3-030-59605-7_3
Podaci o matičnoj publikaciji
Artificial Intelligence and Mobile Services – AIMS 2020
Podaci o skupu
9th International Conference on Artificial Intelligence and Mobile Services – AIMS 2020
predavanje
18.09.2020-20.09.2020
Honolulu (HI), Sjedinjene Američke Države