most citedA comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data

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cs.IR2025

Efficient and Effective Query Context-Aware Learning-to-Rank Model for Sequential Recommendation

Andrii Dzhoha, Alisa Mironenko, Evgeny Labzin +3

Modern sequential recommender systems commonly use transformer-based models for next-item prediction. While these models demonstrate a strong balance between efficiency and quality…