Recommender systems are software mechanisms whose usage is to offer suggestions for
different types of entities like products, services, or contacts that could be useful or …

The ability of recommending cold items (that have no behavior history) is a core strength of
multimedia recommendation compared with behavior-only collaborative filtering. To learn …

Дисертація на здобуття ступеня доктора філософії за спеціальністю 125 Кібербезпека.–
Київський столичний університет імені Бориса Грінченка, МОН України, Київ, 2024 …

A dramatic change in the abilities of language models to provide state of the art accuracy in
a number of Natural Language Processing tasks is currently observed. These improvements …

This paper studies context-aware recommendations in the television domain by proposing a
deep learning-based method for learning joint context-content embeddings (JCCE). The …