Session-based recommendation (SBR) is a recommendation system application scenario
that focuses on user interests and behaviors in sessions formed within a short period …

Deep learning (DL) has emerged as a powerful subset of machine learning (ML) and
artificial intelligence (AI), outperforming traditional ML methods, especially in handling …

Sequential recommendation predicts users' future interactions by capturing dynamic
sequential patterns hidden in their historical behavioral sequences. Recently, many deep …

With the development of various location-based social networks (LSBNs), personalized
point-of-interest (POI) recommendations have become a recent research hotspot. Current …

This paper introduces CAMCMusic, a novel context-aware multi-criteria music
recommendation system designed to address these limitations without relying on user …

A time-aware collaborative filtering-based recommender system provides item
recommendations for the current user by prioritizing recent items preferred by similar …

This paper proposes a novel federated recommendation framework that incorporates
differential privacy to safeguard user privacy without compromising on the accuracy of …

Machine learning is an effective technique for optimizing real-time electronics product data
analysis. It can efficiently handle large electronics product datasets, reducing processing …

Анотація Об'єктом дослідження є процес формування рекомендацій одягу з
урахуванням кліматичних показників локації користувача для інтернет магазину. Μeтa …