no code implementations • 15 Feb 2024 • Valeriy Shevchenko, Nikita Belousov, Alexey Vasilev, Vladimir Zholobov, Artyom Sosedka, Natalia Semenova, Anna Volodkevich, Andrey Savchenko, Alexey Zaytsev
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.
2 code implementations • 14 Sep 2023 • Anton Klenitskiy, Alexey Vasilev
In addition, we show that SASRec could be effectively trained with negative sampling and still outperform BERT4Rec, but the number of negative examples should be much larger than one.
1 code implementation • 3 Oct 2022 • Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin
Most of the prior CARS papers following representational approach manually selected and considered only a few crucial contextual variables in an application, such as time, location, and company of a person.
no code implementations • 26 Jun 2022 • Yan-Martin Tamm, Rinchin Damdinov, Alexey Vasilev
These findings highlight yet another difficulty in recommender system evaluation and call for a more detailed description of evaluation protocols.