Vacancy Mining to Design Personalized Learning Analytics for Future Employees

Ildikó Szabó, Réka Vas. Vacancy Mining to Design Personalized Learning Analytics for Future Employees. In Andrea Ko, Enrico Francesconi, Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, editors, Electronic Government and the Information Systems Perspective - 8th International Conference, EGOVIS 2019, Linz, Austria, August 26-29, 2019, Proceedings. Volume 11709 of Lecture Notes in Computer Science, pages 58-69, Springer, 2019. [doi]

Abstract

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