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http://dx.doi.org/10.9717/kmms.2020.23.2.343

Design and Implementation of Agent-Recruitment Service System based on Collaborative Deep Learning for the Intelligent Head Hunting Service  

Lee, Hyun-ho (Department of Computer Engineering, Dankook University)
Lee, Won-jin (Research Institute of Information and Culture Technology, Dankook University)
Publication Information
Journal of Korea Multimedia Society / v.23, no.2, 2020 , pp. 343-350 More about this Journal
Abstract
In the era of the Fourth Industrial Revolution in the digital revolution is taking place, various attempts have been made to provide various contents in a digital environment. In this paper, agent-recruitment service system based on collaborative deep learning is proposed for the intelligent head hunting service. The service system is improved from previous research [7] using collaborative deep learning for more reliable recommendation results. The Collaborative deep learning is a hybrid recommendation algorithm using "Recurrent Neural Network(RNN)" specialized for exponential calculation, "collaborative filtering" which is traditional recommendation filtering methods, and "KNN-Clustering" for similar user analysis. The proposed service system can expect more reliable recommendation results than previous research and showed high satisfaction in user survey for verification.
Keywords
Intelligent Recruitment; Headhunting; Filtering; Deep Learning; Recommendation;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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