Collaborator Recommender System

Autor: Ilya Makarov, Leonid Zhukov, Stanislav Petrov, Mikhail Pendiukhov, Konstantin Sudarikov, Alina Akhmetzyanova, Anna Averchenkova
Rok vydání: 2020
Předmět:
Zdroj: Springer Proceedings in Mathematics & Statistics ISBN: 9783030371562
DOI: 10.1007/978-3-030-37157-9_7
Popis: Nowadays, a lot of scientists’ works aim to improve the quality of people’s life but it could be quite complicated without building a successful collaboration. Productive partnerships can increase research efficiency in many cases and make a huge impact on society. However, today there is no clear way to find such collaborators. In this paper, we propose a recommender system for the scientists from the Higher School of Economics university to help them find co-authors for their prospective studies.
Databáze: OpenAIRE