In recent years, a variety of review-based recommender systems have been developed, with
the goal of incorporating the valuable information in user-generated textual reviews into the …

Traditional video recommendation provides the viewers with customized media content
according to their historical records (eg, ratings, reviews). However, such systems tend to …

Decision making is the cognitive process of identifying and choosing alternatives based on
preferences, beliefs, and degree of importance given by the decision maker to objects or …

Context-aware recommender systems try to adapt to users' preferences across different
contexts and have been proven to provide better predictive performance in a number of …

The act of reading has benefits for individuals and societies, yet studies show that reading
declines, especially among the young. Recommender systems can help stop such decline …

Recommender systems have become ubiquitous over the last decade, providing users with
personalized search results, video streams, news excerpts, and purchasing hints. Human …

Personalization of suggestions of contents plays a key role in adaptive virtual learning
environments. Good recommendations can raise the interest of students in the learning …

In this article, we present a platform that allows the creation of a comprehensive
representation of the user that we call a holistic user model (HUM). Such a representation is …

The goal of this work is to formally provide a general definition of a multimedia
recommendation system (MMRS), in particular a content-based MMRS (CB-MMRS), and to …

Conversational recommender systems produce personalized recommendations of
potentially useful items by utilizing natural language dialogues for detecting user …