Recommendation systems have overcome the overload of irrelevant information by
considering users' preferences and emotional states in the fields of tourism, health, e …

In these last years, we are witnessing the constant evolution of technologies such as artificial
intelligence, machine learning, blockchain, IoT, and cloud computing. At the same time …

Recommendation systems are evolving predominantly across tourism, e-commerce,
entertainment, and health industries. They filter information by analyzing heterogeneous …

This paper describes main modern tendencies for projects in the design and development of
urban route planning recommender systems. In this research the difficulties and unsolved …

Main goal is to enable better real time recommendations for trip support in time-location
amplitude with social distancing reality in urban area. This paper describes main modern …

Artificial intelligence (AI) is widely employed with efficacy across diverse domains. The field
of smart tourism has the potential to be significantly transformed through the utilisation of AI …

Анотація The study focuses on current trends in the use of smartphones and other smart
devices to provide information support to users in a COVID pandemic. The perspective …

The problem of information overload is becoming increasingly prominent, and
recommendation systems are developing rapidly in various fields. How to find the most user …

Recommendation systems have overcome the overload of irrelevant information by
considering users' preferences and emotional states in the fields of tourism, health, e …