In this paper, we develop a novel hybrid recommender system for the tourism domain, which
combines (a) a Bayesian preferences elicitation component which operates by asking the …

In this work, we employ various preference aggregation mechanisms from the social choice
literature alongside with a multiwinner voting rule, namely the Reweighted Approval Voting …

The importance of hotel recommendation systems has grown with the tourist sector. In recent
years, as online hotel booking systems have grown more commonplace, consumer …

Recommendation systems for suggesting products are crucial, particularly in streaming
services. Recommendation algorithms are crucial for helping viewers find new movies they …

Aiming to address the problems of the current research on water ecotourism routes, a water
ecotourism route recommendation model based on an improved cockroach optimization …

The usage of recommendation systems has increased significantly over the last several
years across numerous businesses, including the travel and entertainment sectors. They …

The current spread of the Internet across an ever-increasing number of devices, including
mobile and IoT devices, has created an enormous flow of data. Therefore, in the era of big …

This paper tackles the prevalent challenges faced by existing tourism route recommendation
methods, including data sparsity, cold start, and low accuracy. To address these issues, a …

Customized movie recommendations are crucial in elevating user satisfaction and
engagement in the era of vast online entertainment options. This study presents an …

The field of movie recommendation systems faces significant obstacles in achieving high
accuracy and relevance, primarily due to issues such as cluster overlap and data …