Recommender systems are efficient tools for filtering online information, which is
widespread owing to the changing habits of computer users, personalization trends, and …

Identifying user requirements and preferences on the basis of the current context, is one of
main challenges of the Internet of Things (IoT) paradigm. Users, services and applications …

Recommender Systems have become fundamental web applications providing
personalized recommendations to users that are suitable to their needs and preferences in …

En este trabajo se presenta un análisis bibliométrico de la calidad de los servicios turísticos
en los artículos publicados en revistas internacionales indexadas en bases de datos. Los …

This research aims to explore the impact of Machine Learning (ML) on the evolution and
efficacy of Recommendation Systems (RS), particularly in the context of their growing …

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

The recommender system (RS) has been successful in recommending products needed by
customers. RS has been implemented in many domains such as entertainment, news, e …

This paper presents a control system, based on artificial intelligence technologies, that
implements multiple intelligences. This system aims to support and improve automatic …

基于自然伽马成像的相对倾角测量是现代地质导向中的重要技术. 目前大量关于提高自然伽马
成像精度的研究均未讨论成像仪器在旋转时的测量失真现象, 这导致相对倾角的计算存在一个 …

This study offers a comprehensive exploration of recommender systems (RSs) with a focus
on their influence on consumers' purchase intentions in the realm of e-commerce …