The comprehensive evaluation of the performance of a recommender system is a complex
endeavor: many facets need to be considered in configuring an adequate and effective …

Traditionally, the field of recommender systems has evaluated the fruits of its labor using
metrics of algorithmic accuracy and precision (see Chap. 8 for an overview of recommender …

Nowadays, many retailers use personalization in advertising to increase customers'
awareness and interest in their offers. Product recommendations are a common form of …

Personalization and context-awareness are highly important topics in research on Intelligent
Information Systems. In the fields of Music Information Retrieval (MIR) and Music …

In recent years recommender systems have become the common tool to handle the
information overload problem of educational and informative web sites, content delivery …

An ever increasing number of social services offer thousands of diverse events per day.
Users tend to be overwhelmed by the massive amount of information available, especially …

Explaining system-generated recommendations based on user reviews can foster users'
understanding and assessment of the recommended items and the recommender system …

Develo** a recommender system for events raises several issues that are different from
other domains. Events rapidly disappear, users' preferences quickly change over time, and …

Transparency is increasingly seen as a critical requirement for achieving the goal of human-
centered AI systems in general and also, specifically, recommender systems (RS). However …

In the past, the selection of content has been done manually. Nowadays, owing to the new
generation of social recommender systems, the automated aggregation of content, based on …