A systematic literature review of recent advances on context-aware recommender systems
P Mateos, A Bellogín - Artificial Intelligence Review, 2025 - Springer
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 …
different types of entities like products, services, or contacts that could be useful or …
Enhancing the efficiency of the remote service process
V Zakirov, E Abdullaev - E3S Web of Conferences, 2024 - e3s-conferences.org
At the moment, two of the fastest growing industries are remote services and the remote
organization of work and study activities. It follows that this calls for the area to be …
organization of work and study activities. It follows that this calls for the area to be …
Learning from Small Datasets: An Efficient Deep Learning Model for Covid-19 Detection from Chest X-ray Using Dataset Distillation Technique
Ever since the spread of the Coronavirus pandemic popularly known as Covid-19,
researchers have dwelled in finding ways to curtail the spread of this disease. The disease …
researchers have dwelled in finding ways to curtail the spread of this disease. The disease …
Tailoring Marketing Strategies for Food Products Within the Dynamics of Context and Location-Aware Pervasive Systems
ES Djasurovna - International Conference on Next Generation Wired …, 2023 - Springer
In the realm of digital marketing, the fusion of real-time context and location awareness
within pervasive systems has opened novel avenues for consumer engagement. This …
within pervasive systems has opened novel avenues for consumer engagement. This …
An Approach for Social-Distance Preserving Location-Aware Recommender Systems: A Use Case in a Hospital Environment
M Caballero, MC Rodríguez-Hernández… - … on Database and Expert …, 2024 - Springer
Currently, the volume of geo-referenced data is rapidly expanding, and users frequently
show interest in nearby items. Consequently, Location-Aware Recommender Systems …
show interest in nearby items. Consequently, Location-Aware Recommender Systems …