Pregled bibliografske jedinice broj: 1090812
Building Vector Representations for Candidates and Projects in a CV Recommender System
Building Vector Representations for Candidates and Projects in a CV Recommender System // Artificial Intelligence and Mobile Services – AIMS 2020
Honolulu (HI), Sjedinjene Američke Države, 2020. str. 17-29 doi:10.1007/978-3-030-59605-7_2 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1090812 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Building Vector Representations for Candidates and
Projects in a CV Recommender System
Autori
Kurdija, Adrian Satja ; Afrić, Petar ; Šikić, Lucija ; Plejić, Boris ; Šilić, Marin ; Delač, Goran ; Vladimir, Klemo ; Srbljić, Siniša
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Artificial Intelligence and Mobile Services – AIMS 2020
/ - , 2020, 17-29
Skup
9th International Conference on Artificial Intelligence and Mobile Services – AIMS 2020
Mjesto i datum
Honolulu (HI), Sjedinjene Američke Države, 18.09.2020. - 20.09.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
LSI ; GloVe ; Recommender systems ; Nearest neighbors
Sažetak
We describe a CV recommender system built for the purpose of connecting candidates with projects that are relevant to their skills. Each candidate and each project is described by a textual document (CV or a project description) from which we extract a set of skills and convert this set to a numeric representation using two known models: Latent Semantic Indexing (LSI) and Global Vectors for Word Representation (GloVe) model. Indexes built from these representations enable fast search of similar entities for a given candidate/project and the empirical results demonstrate that the obtained l2 distances correlate with the number of common skills and Jaccard similarity.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2018-01-6423 - Pouzdani kompozitni primjenski sustavi zasnovani na web uslugama (RELS) (Srbljić, Siniša, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Klemo Vladimir
(autor)
Petar Afrić
(autor)
Adrian Satja Kurdija
(autor)
Siniša Srbljić
(autor)
Boris Plejić
(autor)
Lucija Šikić
(autor)
Goran Delač
(autor)
Marin Šilić
(autor)