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

User experience (UX) evaluation is a growing field with diverse approaches. To understand
the development since previous meta-review efforts, we conducted a state-of-the-art review …

Recommender systems have become pervasive on the web, sha** the way users see
information and thus the decisions they make. As these systems get more complex, there is …

Recommender system (RS) has emerged as a major research interest that aims to help
users to find items online by providing suggestions that closely match their interest. This …

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 …

Explainable recommendation has gained great attention in recent years. A lot of work in this
research line has chosen to use the knowledge graphs (KG) where relations between …

Recommender systems are a classical example for machine learning applications, however,
they have not yet been used extensively in health informatics and medical scenarios. We …

Intelligent systems are gaining in popularity and receiving increased media attention, but
little is known about how people actually go about develo** them. In this paper, we …

A large amount of research in recommender systems focuses on algorithmic accuracy and
optimization of ranking metrics. However, recent work has unveiled the importance of other …

Sets comprise a generic data model that has been used in a variety of data analysis
problems. Such problems involve analysing and visualizing set relations between multiple …