Recommender systems have been researched extensively over the past decades. Whereas
several algorithms have been developed and deployed in various application domains …

Research on recommender systems has traditionally focused on the development of
algorithms to improve accuracy of recommendations. So far, little research has been done to …

Recommender systems form the backbone of many interactive systems. They incorporate
user feedback to personalize the user experience typically via personalized …

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 …

A recommender system is a Web technology that proactively suggests items of interest to
users based on their objective behavior or explicitly stated preferences. Evaluations of …

Research in recommender systems has traditionally focused on improving the predictive
accuracy of recommendations by developing new algorithms or by incorporating new …

Recommender systems are now popular both commercially and in the research community,
where many approaches have been suggested for providing recommendations. In many …

This research was motivated by our interest in understanding the criteria for measuring the
success of a recommender system from users' point view. Even though existing work has …

Recommender systems are typically evaluated on their ability to provide items that satisfy
the needs and interests of the end user. However, in many real world applications, users are …

Recommender systems are firmly established as a standard technology for assisting users
with their choices; however, little attention has been paid to the application of the user model …