Research on recommender systems typically focuses on the accuracy of prediction
algorithms. Because accuracy only partially constitutes the user experience of a …

Music recommender systems typically offer a “one-size-fits-all” approach with the same user
controls and visualizations for all users. However, the effectiveness of interactive interfaces …

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 …

Users of social recommender systems may want to inspect and control how their social
relationships influence the recommendations they receive, especially since …

Previous research has found that enabling users to control the recommendation process
increases user satisfaction. However, providing additional controls also increases cognitive …

Recommender systems (eg, Amazon. com) provide users with tailored products and
services, which have the potential to induce user privacy concerns. Although system …

In this study, we describe a recommendation system for electronic books. The approach is
based on implicit feedback derived from user's interaction with electronic content. User's …

As an increasingly important part of our social, professional and financial lives happens
online, the frequency with which we have to deal with privacy problems is ever on the rise. In …

Many websites allow users to rate items and share their ratings with others, for social or
personalisation purposes. In recommender systems in particular, personalised suggestions …

People can adopt many different energy-saving measures, but how can they be encouraged
to take action? Recommender systems could offer a solution, but how recommender …