46 citations · 86 across the 15 of their papers we have counts for
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cs.IR2022
MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation
Aleksandr Petrov, Ildar Safilo, Daria Tikhonovich +1
We present a new movie and TV show recommendation dataset collected from the real users of MTS Kion video-on-demand platform. In contrast to other popular movie recommendation data…
cs.IR2022★ 2 cited
A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation
Aleksandr Petrov, Craig Macdonald
BERT4Rec is an effective model for sequential recommendation based on the Transformer architecture. In the original publication, BERT4Rec claimed superiority over other available s…
cs.IR2022★ 1 cited
Effective and Efficient Training for Sequential Recommendation using Recency Sampling
Aleksandr Petrov, Craig Macdonald
Many modern sequential recommender systems use deep neural networks, which can effectively estimate the relevance of items but require a lot of time to train. Slow training increas…