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

Recommender systems that utilize machine learning algorithms are a prominent tool in the
design and implementation of personalized tourism experiences. These systems analyze …

Data mining is an important field that derives insights from the data and recommendation
systems. Recommendation systems have become common in recent years in the field of …

Tourism industry has grown despite recent different global issues, like economic crisis. The
industry is steadily growing each year globally. Lot of travelling related information is avail …

This research paper introduces a novel hybrid tourist recommendation system that
integrates K-nearest neighbors (KNN), convolutional neural networks (CNN), and decision …

Over the past few years, recommendation systems have gained immense popularity and are
being applied to many domains. This paper discusses the application of recommendation …

Humans have always had a natural need to travel. Regardless of obstacles like age, gender,
color, or geographic restrictions, people aspired to travel for a variety of reasons. Travel and …

Abstract Recommender Systems (RSs) have been extensively utilized as a means of
reducing the information overload and offering travel recommendations to tourists. The …

Travelling is a combination of journey, transportation, travel-time, accommodation, weather,
events, and other aspects which are likely to be experienced by most of the people at some …

Choosing a tourist destination from the information available is one of the most complex
tasks for tourists when making travel plans, both before and during their travel. With the …