Recently, food recommender systems have received increasing attention due to their
relevance for healthy living. Most existing studies on the food domain focus on …

Tourism is both an important industry and popular leisure activity undertaken by millions
around the world. One important task for tourists is to plan and schedule tour itineraries that …

Data-driven decision-making consequential to individuals raises important questions of
accountability and justice. Indeed, European law provides individuals limited rights …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …

Recommender systems have developed in parallel with the web. They were initially based
on demographic, content-based and collaborative filtering. Currently, these systems are …

Mobile phones have evolved to be smart computers (smartphones) supporting a wide range
of information services that can be accessed anytime and from (almost) anywhere. With the …

The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce personalization, information …

Training datasets fundamentally impact the performance of machine learning (ML) systems.
Any biases introduced during training (implicit or explicit) are often reflected in the system's …

The emergence of new media using multimedia features has generated a new set of
mediators for tourists' experiences. This study examines two hypotheses regarding the roles …