A challenge-based survey of e-recruitment recommendation systems

Y Mashayekhi, N Li, B Kang, J Lijffijt… - ACM Computing Surveys, 2024 - dl.acm.org
E-recruitment recommendation systems recommend jobs to job seekers and job seekers to
recruiters. The recommendations are generated based on the suitability of job seekers for …

Visual data analysis for semantic job matching using knowledge graphs

K Kodaiarasu - 2023 - search.proquest.com
The digital world has evolved from finding job positions in everyday newspapers to online
platforms for turning in job applications. With more than thousands of job opportunities …

[PDF][PDF] Recurrent Neural Graph Collaborative Filtering.

B Zhang, Z Xiao, S Zhong - SEKE, 2021 - ksiresearch.org
Collaborative Filtering (CF) is a prevalent technique in recommender systems. Substantial
research focuses on learning the embedding of users and items via exploiting past user-item …

[PDF][PDF] Deep Self-Attention for Sequential Recommendation (S).

B Zhang, Z Xiao, S Zhong - SEKE, 2021 - ksiresearch.org
Sequential recommendation aims to recommend the next item that a user will likely interact
with by capturing the useful sequential patterns from users' historical behaviors. Recently, it …

[引用][C] ROZPRAWA DOKTORSKA

R Kwiecinski