ACM International Conference Proceeding Series, pages 84-87
Recommender system for an academic supervisor with a matrix normalization approach
Publication type: Proceedings Article
Publication date: 2020-10-27
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Abstract
This article proposes a recommendation system for choosing an academic supervisor, based on an assessment of the similarity of student interests and the scientific achievements of the possible mentor from the university faculty. We used a new approach to calculate similarity with no creating co-authorship networks but using Scopus quality metrics. Each scientist is presented as a combination of his achievements in each field of science. As a normalization method, we used the cumulative distribution function of the logarithm of the weighted impacts of professors in the field. We compared different similarity measures and performed clustering to assess their adequacy and thus assess the quality of the system due to the impossibility of comparing the received recommendations with the data of the past years.
- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Kazakovtsev V. et al. Recommender system for an academic supervisor with a matrix normalization approach // ACM International Conference Proceeding Series. 2020. pp. 84-87.
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Kazakovtsev V., Oreshin S., Serdyukov A., Krasheninnikov E., Muravyov S., Bezvinnyi A., Panfilov A., Glukhov I., Kaliberda Y., Masalskiy D., Podolenchuk T., Khlopotov M. Recommender system for an academic supervisor with a matrix normalization approach // ACM International Conference Proceeding Series. 2020. pp. 84-87.
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TY - CPAPER
DO - 10.1145/3437802.3437817
UR - https://doi.org/10.1145%2F3437802.3437817
TI - Recommender system for an academic supervisor with a matrix normalization approach
T2 - ACM International Conference Proceeding Series
AU - Kazakovtsev, Vladimir
AU - Oreshin, Svyatoslav
AU - Serdyukov, Alexey
AU - Krasheninnikov, Egor
AU - Muravyov, Sergey
AU - Bezvinnyi, Albert
AU - Panfilov, Alexander
AU - Glukhov, Igor
AU - Kaliberda, Yulia
AU - Masalskiy, Daniil
AU - Podolenchuk, Timofey
AU - Khlopotov, Maksim
PY - 2020
DA - 2020/10/27 00:00:00
SP - 84-87
ER -
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@inproceedings{2020_Kazakovtsev,
author = {Vladimir Kazakovtsev and Svyatoslav Oreshin and Alexey Serdyukov and Egor Krasheninnikov and Sergey Muravyov and Albert Bezvinnyi and Alexander Panfilov and Igor Glukhov and Yulia Kaliberda and Daniil Masalskiy and Timofey Podolenchuk and Maksim Khlopotov},
title = {Recommender system for an academic supervisor with a matrix normalization approach},
year = {2020},
pages = {84--87},
month = {oct}
}
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