Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1090812

Building Vector Representations for Candidates and Projects in a CV Recommender System


Kurdija, Adrian Satja; Afrić, Petar; Šikić, Lucija; Plejić, Boris; Šilić, Marin; Delač, Goran; Vladimir, Klemo; Srbljić, Siniša
Building Vector Representations for Candidates and Projects in a CV Recommender System // Artificial Intelligence and Mobile Services – AIMS 2020
Honolulu, SAD, 2020. str. 17-29 doi:10.1007/978-3-030-59605-7_2 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), ostalo)


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), ostalo

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, SAD, 18-20. 9. 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:
IP-2018-01-6423 - Pouzdani kompozitni primjenski sustavi zasnovani na web uslugama (RELS) (Srbljić, Siniša, HRZZ - 2018-01) ( POIROT)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Citiraj ovu publikaciju

Kurdija, Adrian Satja; Afrić, Petar; Šikić, Lucija; Plejić, Boris; Šilić, Marin; Delač, Goran; Vladimir, Klemo; Srbljić, Siniša
Building Vector Representations for Candidates and Projects in a CV Recommender System // Artificial Intelligence and Mobile Services – AIMS 2020
Honolulu, SAD, 2020. str. 17-29 doi:10.1007/978-3-030-59605-7_2 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), ostalo)
Kurdija, A., Afrić, P., Šikić, L., Plejić, B., Šilić, M., Delač, G., Vladimir, K. & Srbljić, S. (2020) Building Vector Representations for Candidates and Projects in a CV Recommender System. U: Artificial Intelligence and Mobile Services – AIMS 2020 doi:10.1007/978-3-030-59605-7_2.
@article{article, year = {2020}, pages = {17-29}, DOI = {10.1007/978-3-030-59605-7\_2}, keywords = {LSI, GloVe, Recommender systems, Nearest neighbors}, doi = {10.1007/978-3-030-59605-7\_2}, title = {Building Vector Representations for Candidates and Projects in a CV Recommender System}, keyword = {LSI, GloVe, Recommender systems, Nearest neighbors}, publisherplace = {Honolulu, SAD} }
@article{article, year = {2020}, pages = {17-29}, DOI = {10.1007/978-3-030-59605-7\_2}, keywords = {LSI, GloVe, Recommender systems, Nearest neighbors}, doi = {10.1007/978-3-030-59605-7\_2}, title = {Building Vector Representations for Candidates and Projects in a CV Recommender System}, keyword = {LSI, GloVe, Recommender systems, Nearest neighbors}, publisherplace = {Honolulu, SAD} }

Citati





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font