The novel outbreak of coronavirus disease (COVID-19) was an unexpected event for tourism
in the world as well as tourism in the Netherlands. In this situation, the travelers' decision …

The ever-increasing volume of information available on tourist attractions in cyberspace has
made the tourist decision-making process a crucial task. Therefore, tourism recommendation …

Smart tourism platforms have made it easier for travelers to plan and manage their trips as a
decision support. This paper is focuses on three applications in tourist intelligent (tourism …

The demand and current characteristics of tourism within globalized scenarios have
prompted the introduction of intelligent systems in the decision making process of tourism …

Recently, recommendation systems have become an active topic. Studies indicated that
existing tourism recommendation systems provide misleading recommendations that do not …

As to the problems in current tourism recommendation, this paper proposes a tourism
recommendation algorithm based on the mobile ICV service platform. Firstly, the ICV service …

This study explored the correlation between tourism-related popular words in search
engines and the number of tourists, which is a topic worth discussing for the tourism industry …

The amount of information available on the World Wide Web has increased considerably
over the past decade. Information on travel destinations and their associated resources …

In this paper, we propose a system for recommending tours using online customer reviews.
The system receives a review about tours written by a user, estimates the user's interests …

In this paper, we analyze the performance of K-means, Fuzzy C-means, and Particle Swarm
Clustering algorithms for clustering users with a similar profile of a travel agency. These …