Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

Recommender Systems (RS) help the user in the decision-making process when there is a
problem of plenty or lack of information. The context-aware recommender systems (CARS) …

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 …

The tourism sector represents an opportunity for economic growth in countries with tourism
potential. However, new trends in global tourism require efficiency in tourism supply chain …

In smart environments, traditional information management approaches are often unsuitable
to tackle with the needed elaborations due to the amount and the high dynamicity of entities …

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 smart home culture is rapidly increasing across the globe and driving smart home users
toward utilizing smart appliances. Smart television (TV) is one such appliance that is …

Purpose E-tourism is instilling in the tourism industry with the advancement in the
technological infrastructure all over the world and fetching tremendous tourists' attention …

Given the popularity of mobile-based short video apps in recent years, this study aims to
examine factors influencing users' intention to seek travel information on short video …

Recommender systems that predict the preference of users have attracted more and more
attention in decades. One of the most popular methods in this field is collaborative filtering …