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pro vyhledávání: '"Sosedka, Artyom"'
Autor:
Shevchenko, Valeriy, Belousov, Nikita, Vasilev, Alexey, Zholobov, Vladimir, Sosedka, Artyom, Semenova, Natalia, Volodkevich, Anna, Savchenko, Andrey, Zaytsev, Alexey
Publikováno v:
KDD 2024: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
In the rapidly evolving domain of Recommender Systems (RecSys), new algorithms frequently claim state-of-the-art performance based on evaluations over a limited set of arbitrarily selected datasets. However, this approach may fail to holistically ref
Externí odkaz:
http://arxiv.org/abs/2402.09766
The problem of travel time estimation is widely considered as the fundamental challenge of modern logistics. The complex nature of interconnections between spatial aspects of roads and temporal dynamics of ground transport still preserves an area to
Externí odkaz:
http://arxiv.org/abs/2207.05835
The problem of co-authors selection in the area of scientific collaborations might be a daunting one. In this paper, we propose a new pipeline that effectively utilizes citation data in the link prediction task on the co-authorship network. In partic
Externí odkaz:
http://arxiv.org/abs/2111.15466