3 papers
cs.IR2026
Hierarchical Exponential-Gaussian Mixtures for Watch-Time Distribution Prediction
Sofia Gulevskaia, Mikhail Trapeznikov, Aleksandr Poslavsky +1
Accurate watch-time (WT) prediction is an important requirement for short-video recommendations. Yet WT distributions are near-zero-inflated, long-tailed and multimodal. The recent…
math.OC2026
Decentralized Inexact Cubic Newton Method with Consensus Procedure
Artem Agafonov, Anton Novitskii, Alexander Rogozin +5
Distributed optimization is widely used in large-scale and privacy-preserving machine learning, where each agent stores a local objective and communicates only with its neighbors i…
cs.IR2026
VK-LSVD: A Large-Scale Industrial Dataset for Short-Video Recommendation
Aleksandr Poslavsky, Alexander D'yakonov, Yuriy Dorn +1
Short-video recommendation presents unique challenges, such as modeling rapid user interest shifts from implicit feedback, but progress is constrained by a lack of large-scale open…