17 citations · 27 across the 5 of their papers we have counts for
4 papers · 1 filter
SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation
Oleg Lashinin, Denis Krasilnikov, Aleksandr Milogradskii +1
Transformer-based approaches such as BERT4Rec and SASRec demonstrate strong performance in Next Item Recommendation (NIR) tasks. However, applying these architectures to Next-Baske…
Revisiting BPR: A Replicability Study of a Common Recommender System Baseline
Aleksandr Milogradskii, Oleg Lashinin, Alexander P +2
Bayesian Personalized Ranking (BPR), a collaborative filtering approach based on matrix factorization, frequently serves as a benchmark for recommender systems research. However, n…
Time-Aware Item Weighting for the Next Basket Recommendations
Aleksey Romanov, Oleg Lashinin, Marina Ananyeva +1
In this paper we study the next basket recommendation problem. Recent methods use different approaches to achieve better performance. However, many of them do not use information a…
RecBaselines2023: a new dataset for choosing baselines for recommender models
Veronika Ivanova, Oleg Lashinin, Marina Ananyeva +1
The number of proposed recommender algorithms continues to grow. The authors propose new approaches and compare them with existing models, called baselines. Due to the large number…