With the emergence of personality computing as a new research field related to artificial
intelligence and personality psychology, we have witnessed an unprecedented proliferation …

ABSTRACT While the System Usability Scale (SUS) is probably one of the most widely used
questionnaires to measure the perceived ease of use of interactive systems, there is …

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

Recommender system is a helpful tool for helping the user in cutting the time needs to find
personalised products, documents, friends, places and services. In addition, the …

Group recommender systems are information filtering and decision support applications that
are aimed at aiding a group of users in making decisions when they are considering a set of …

Animated avatars, which look and talk like humans, are iconic visions of the future of AI-
powered systems. Through many sci-fi movies, we are acquainted with the idea of speaking …

Context-aware recommender systems are information filtering and decision support
applications that generate recommendations by exploiting context-dependent user …

Tourist Trip Design Problems (TTDPs) deal with the task to support tourists in creating a trip
composed of a set or sequence of points of interests (POIs) or other items related to travel …

Researching online before booking a vacation can be seen as a common habit of customers
nowadays. In this context, Recommender Systems (RSs) are aiming to support the …

Electronic Learning (e-learning) has made a great success and recently been estimated as
a billion-dollar industry. The users of e-learning acquire knowledge of diversified content …