Quotation Haas, Christian, Hall, Margeret, Vlasnik, Sandy. 2018. Finding optimal mentor-mentee matches: A case study in applied two-sided matching. Heliyon. 4




Two-Sided Matching is a well-established approach to find allocations and matchings based on the participants' preferences. While its most prominent applications are College Admissions and School Choice problems, this paper applies the concept to the matching of mentors to mentees in a higher education context. Both mentors and mentees have preferences with whom they ideally want to be matched, as well as who they want to avoid. As the general formulation for these types of preferences is NP-hard, several existing approximation algorithms and heuristics are compared with respect to their ability to find a matching with desirable properties. The results show that a combination of evolutionary heuristics and local search approaches works best in finding high-quality solutions, allowing us to find mentor-mentee pairs which are close to the respective ideal match.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Heliyon
Language English
Title Finding optimal mentor-mentee matches: A case study in applied two-sided matching
Volume 4
Year 2018
URL https://api.elsevier.com/content/article/PII:S2405844017336769?httpAccept=text/xml
DOI http://dx.doi.org/10.1016/j.heliyon.2018.e00634
Open Access Y
Open Access Link https://doi.org/10.1016/j.heliyon.2018.e00634


Haas, Christian (Details)
Hall, Margeret (Details)
Vlasnik, Sandy (University of Nebraska at Omaha, United States/USA)
Institute for Corporate Governance IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1122 Artificial intelligence (Details)
1127 Information science (Details)
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