Using Academic Genealogy for Recommending Supervisors

Gabriel Madeira, Eduardo Borges, Giancarlo Lucca, Washington Carvalho-Segundo, Jonata Wieczynski, Helida Santos, Graçaliz Dimuro, Graçaliz Dimuro

Abstract

Selecting an academic supervisor is a complicated task. Masters and Ph.D. candidates usually select the most prestigious universities in a given region, investigate the graduate programs in a research area of interest, and analyze the professors’ profiles. This choice is a manual task that requires extensive human effort, and usually, the result is not good enough. In this paper we propose a Recommender System that enables one to choose an academic supervisor based on his/her academic genealogy. We used metadata of different theses and dissertations and applied the nearest centroid model to perform the recommendation. The obtained results showed the high precision of the recommendations, which supports the hypothesis that the proposed system is a useful tool for graduate students.

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Paper Citation


in Harvard Style

Madeira G., Borges E., Lucca G., Carvalho-Segundo W., Wieczynski J., Santos H. and Dimuro G. (2021). Using Academic Genealogy for Recommending Supervisors. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-509-8, pages 885-892. DOI: 10.5220/0010442608850892


in Bibtex Style

@conference{iceis21,
author={Gabriel Madeira and Eduardo Borges and Giancarlo Lucca and Washington Carvalho-Segundo and Jonata Wieczynski and Helida Santos and Graçaliz Dimuro},
title={Using Academic Genealogy for Recommending Supervisors},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2021},
pages={885-892},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010442608850892},
isbn={978-989-758-509-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Using Academic Genealogy for Recommending Supervisors
SN - 978-989-758-509-8
AU - Madeira G.
AU - Borges E.
AU - Lucca G.
AU - Carvalho-Segundo W.
AU - Wieczynski J.
AU - Santos H.
AU - Dimuro G.
PY - 2021
SP - 885
EP - 892
DO - 10.5220/0010442608850892