Sentiment Analysis (SA), also called Opinion Mining, is currently one of the most studied
research fields. It aims to analyze people's sentiments, opinions, attitudes, emotions, etc …

Context: Competences represent an interesting pedagogical support in many processes like
diagnosis or recommendation. From these, it is possible to infer information about the …

Group recommender systems are becoming very popular in the social web owing to their
ability to provide a set of recommendations to a group of users. Several group recommender …

Evaluating the quality of health care systems usually entails the examination of objective
variables (waiting time, patients per doctor, etc.). Nonetheless, other subjective variables …

The increasing practicality of the group identification approach has led to many studies of
restaurant recommendations. The success of group identification depends on how to fully …

Scholarly venue recommendation is an emerging field due to a rapid surge in the number of
scholarly venues concomitant with exponential growth in interdisciplinary research and …

Tensor factorization has been applied in recommender systems to discover latent factors
between multidimensional data such as time, place, and social context. However, tensor …

Collaborative Filtering (CF) is one of the most successful recommendation techniques.
Recently, implicit trust-based recommendation approaches have emerged that incorporate …

Nowadays, recommender systems face the problem of time heterogeneous feedback
recommendation, in which items are recommended according to several kinds of user …

Travel recommendation agents have been a helpful tool for travelers in their decision‐
making for destination choices. It has been shown that sparsity can significantly impact on …