46 citations · 86 across the 15 of their papers we have counts for
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cs.IR2023★ 12 cited
RecJPQ: Training Large-Catalogue Sequential Recommenders
Aleksandr V. Petrov, Craig Macdonald
Sequential Recommendation is a popular recommendation task that uses the order of user-item interaction to model evolving users' interests and sequential patterns in their behaviou…
cs.IR2023★ 46 cited
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling
Aleksandr Petrov, Craig Macdonald
A large catalogue size is one of the central challenges in training recommendation models: a large number of items makes them memory and computationally inefficient to compute scor…
cs.IR2023★ 9 cited
Generative Sequential Recommendation with GPTRec
Aleksandr V. Petrov, Craig Macdonald
Sequential recommendation is an important recommendation task that aims to predict the next item in a sequence. Recently, adaptations of language models, particularly Transformer-b…