This chapter gives an introduction to music recommender systems, considering the unique
characteristics of the music domain. We take a user-centric perspective, by organizing our …

Context-aware recommender systems (CARS) are a vital module of many corporate,
especially within the online commerce domain, where consumers are provided with …

Recommender systems appeared in the early 90s to help users deal with cognitive overload
brought by the internet. From there to now, such systems have assumed many other roles …

Context-aware processing is a research hotspot in the recommendation area, which
achieves better recommendation accuracy by considering more context information such as …

Abstract Context-Aware Recommender Systems (CARS) improve traditional Recommender
Systems (RS) in a wide array of domains and applications. However, CARS suffer from …

In the digital transformation era, increasingly more individuals and organizations use or
create services in digital spaces. Many business transactions have been moving from the …

Recommender systems have been developed to deliver item recommendations to the users
tailored to user preferences. The impact of the human personality has been realised in user …

Since the advent of scholarly recommender systems (SRSs), more than 200 papers in the
related area have been published. Many of these papers focus on proposing new and more …

The problem of information overloading is prevalent in recommendations websites and
social networks. Users seek relevant recommendations from like-minded connections. User …

Recommender Systems (RS) are growing technologies, which can be very useful for
consumers in finding items of their interest on the web. Collaborative filtering (CF), a popular …