2 papers
cs.IR2026
VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions
Katya Mirylenka, Egor Malykh, Mahdyar Ravanbakhsh +10
The digital commerce landscape is shifting from static, search-driven catalogs to dynamic, immersive video feeds. This transition introduces an ``extreme cold-start'' problem: unli…
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…