Sepecial Issue “Recommender Systems and Technologies in Artificial Intelligence” in the Electronics Journal, edited by Jesús Boticario , Ana Serrano and David Martín Gómez, submission due date 15 December 2021, welcome to contribute!
This Special Issue is particularly interested in papers that either provide evidence that detecting each user’s emotions, behaviour, context and reactions makes a difference or show progress in building accurate, user-centred recommender systems that take advantage of an increasing number of data for each user in different scenarios and tasks, bearing in mind that the real problem is to model the user within them.