A recommender system is an Information Retrieval technology that improves access and
proactively recommends relevant items to users by considering the users' explicitly …

Context-aware recommender systems leverage the value of recommendations by exploiting
context information that affects user preferences and situations, with the goal of …

How can you discover something new, that matches your interest? Recommender Systems
have been studied since the 90ies. Their benefit comes from guiding a user through the …

In order to build relevant, useful, and effective recommender systems, researchers need to
understand why users come to these systems and how users judge recommendation lists …

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 …

Recommender systems have recently been singled out as a fascinating area of research,
owing to the technological progress in mobile devices, such as smartphones and tablets, as …

In contrast to customers of bricks and mortar stores, users of online selling environments are
not supported by human sales experts. In such situations recommender applications help to …

Recommendation has become a prominent area of research in the field of Information
Retrieval (IR). Evaluation is also a traditional research topic in this community. Motivated by …

Recommender systems attempt to reduce information overload and retain customers by
selecting a subset of items from a universal set based on user preferences. While research …

Recommender systems (RSs) are software tools and techniques that provide suggestions
for items that are most likely of interest to a particular user. In this introductory chapter, we …