Automated recommendations have become a ubiquitous part of today's online user
experience. These systems point us to additional items to purchase in online shops, they …

Novelty and diversity have been identified, along with accuracy, as prominent properties of
useful recommendations. Considerable progress has been made in the field in terms of the …

Although the broad social and business success of recommender systems has been
achieved across several domains, there is still a long way to go in terms of user satisfaction …

The diversity of the generated item suggestions can be an important quality factor of a
recommender system. In offline experiments, diversity is commonly assessed with the help …

In many application domains of recommender systems, eg, on media streaming sites, one
main goal of the provider of the recommendation service is to increase the engagement of …

Any learning algorithm for recommendation faces a fundamental trade-off between
exploiting partial knowledge of a user» s interests to maximize satisfaction in the short term …

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 …

Recommender systems find relevant content for us online, including the personalized news
we increasingly receive on Twitter and Facebook. As a consequence of personalization, we …

​ There is an increasing demand for recommender systems due to the information overload
users are facing on the Web. The goal of a recommender system is to provide personalized …

Geo-localized, mobile applications can simplify a tourist visit, making the relevant Point of
Interests more easily and promptly discernible to users. At the same time, such solutions …