Talent recommendation based on attentive deep neural network and implicit relationships of resumes
Y Huang, DR Liu, SJ Lee - Information Processing & Management, 2023 - Elsevier
Talent recruitment has become a crucial issue for companies since finding suitable
candidates from the massive data on potential candidates from online talent platforms is a …
candidates from the massive data on potential candidates from online talent platforms is a …
Analyzing the Impact of Domain Similarity: A New Perspective in Cross-Domain Recommendation
Cross-domain recommendation (CDR) has recently emerged as an effective way to alleviate
the cold-start and sparsity issues faced by recommender systems, by transferring information …
the cold-start and sparsity issues faced by recommender systems, by transferring information …
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 …
first property is the ability to classify candidates into roles based on automatic processing of …
Grace: Sistema de recomendação de currículos com inteligência artificial
ACB Medeiros, JFV Franciscon, JBP Longo… - Simpósio Brasileiro de …, 2023 - sol.sbc.org.br
O recrutamento e alocação de funcionários são desafios constantes para as empresas.
Diante disso, soluções inovadoras baseadas em Inteligência Artificial (IA) têm surgido para …
Diante disso, soluções inovadoras baseadas em Inteligência Artificial (IA) têm surgido para …
Adrian Satja Kurdija (), Petar Afric, Lucija Sikic, Boris Plejic, Marin Silic
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 …
first property is the ability to classify candidates into roles based on automatic processing of …