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

More and more people are using smartphones and other mobile devices as their main
means for information access. This is especially true for travelers, and mobile applications …

Recommender systems (RSs) are personalized information search and discovery
applications helping users to identify and choose useful items and information. In this paper …

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

In this paper, MASA (Modified A* Algorithm) method is introduced which can merge
numerous factors with different weights into a multi-weighted graph to offer the most optimal …

Family or friends traveling in a group often have different preferences and some of which
may conflict with each other. Existing smart tourism recommender systems have not …

Tourist groups exploring a city often face the problem of finding a sequence of points of
interest that satisfies all group members. In this work, we present three different …

Recommender systems (RSs) represent integral parts of e-commerce platforms for almost
two decades now. The recent emergence of mobile context-aware RSs (CARS) contributed …

Los sistemas recomendadores son herramientas enfocadas en ayudar a los usuarios a
obtener la información que mejor se corresponde con sus intereses y preferencias en un …

Field trips enrich learning programs with out-of-school activities that can bring gains in
students' academic content knowledge and personal growth. However, they are a source of …