Recommender systems can strongly influence which information we see online, eg, on
social media, and thus impact our beliefs, decisions, and actions. At the same time, these …

Group decision-making processes can be supported by group recommender systems that
help groups of users obtain satisfying decision outcomes. These systems integrate a …

The growing use of Recommender Systems (RS) across various industries, including e-
commerce, social media, news, travel, and tourism, has prompted researchers to examine …

Personalized recommendations have become a common feature of modern online services,
including most major e-commerce sites, media platforms and social networks. Today, due to …

With the integration of AI systems into our daily lives, human-AI collaboration has become
increasingly prevalent. Prior work in this realm has primarily explored the effectiveness and …

In the current landscape of ever-increasing levels of digitalization, we are facing major
challenges pertaining to data volume. Recommender systems have become irreplaceable …

Social choice aggregation strategies have been proposed as an explainable way to
generate recommendations to groups of users. However, it is not trivial to determine the best …

Video platforms have become indispensable components within a diverse range of
applications, serving various purposes in entertainment, e-learning, corporate training …

In the travel industry, Tourism Recommender Systems (TRS) are gaining popularity as they
simplify trip planning for travelers by offering personalized recommendations for …

In this article, we present an extensive survey of music information retrieval (MIR) research
into music playlists. Our survey spans more than 20 years, and includes around 300 papers …