Numerous number of tourism attractions along with a huge amount of information about
them on web and social platforms have made the decision-making process for selecting and …

Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …

The evolution of digital marketing in tourism from a mobile apps perspective has led to a shift
towards personalization and targeting, the use of augmented reality (AR) and virtual reality …

In the world of Big Data, a tool capable of filtering data and providing choice support is
crucial. Recommender Systems have this aim. These have evolved further through the use …

Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …

Abstract In the Big Data era, every sector has adapted to technological development to
service the vast amount of information available. In this way, each field has benefited from …

In recent years, Recommendation Systems (RSs) have gained popularity in different
scientific fields through the creation of (mostly mobile) applications that deliver personalized …

Recommender systems-RS-have experienced exponential growth in various fields,
especially in the tourism sector, improving tourism activities' accuracy, personalization, and …

Literature survey shows that the recommendation systems have been largely adapted and
evaluated in various domains. Due to low performances from various cyber attacks, the …

A personalized tourism recommendation system provides convenient and economically
affordable travel information for individuals/groups. This recommendation system banks on …