They represent service systems that supports users to choose a career field that matches their preferences and interest. Relevant recommendations will be made using the following techniques: collaborative filtering, content-based recommendation algorithm and hybrid filtering.
Published in Chapter:
From Traditional Career Services to Intelligent Systems for Career Guidance: A Study of Career Services Diversity in Higher Education Institutions
Maria-Iuliana Dascalu (National University of Science and Technology, Bucharest, Romania),
Constanţa-Nicoleta Bodea (Bucharest University of Economic Studies, Romania),
Iulia-Cristina Stanica (Polytechnic University of Bucharest, Romania), Dan Alexandru Mitrea (Polytechnic University of Bucharest, Romania),
Simona Magdalena Hainagiu (Polytechnic University of Bucharest, Romania), Simona Nicoleta Neagu (Polytechnic University of Bucharest, Romania), and Tudor Mihai Ursachi (Polytechnic University of Bucharest, Romania)
Copyright: © 2024
|Pages: 31
DOI: 10.4018/979-8-3693-3571-0.ch004
Abstract
Several employment challenges may be overcome with career services, among other actions provided by higher education institutions. The chapter analyzes the diversity of career services that are usually delivered by the career guidance centers organized within higher education institutions. Many examples of career services are provided, based on the professional expertise of the authors, involved in developing career services with their university as well as at the regional level. The analysis is conducted using different service characteristics such as the following: novelty, duration, format, communication, feedback, digitalized degree, and requiring specialists' supervision. Based on this analysis, several conclusions are drawn, including recommendations for efficient organization of the career guidance centers within higher education institutions.