We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …

The music domain is among the most important ones for adopting recommender systems
technology. In contrast to most other recommendation domains, which predominantly rely on …

Existing content-based music recommendation systems typically employ a\textit {two-stage}
approach. They first extract traditional audio content features such as Mel-frequency cepstral …

Rapid advances in mobile devices and cloud-based music service now allow consumers to
enjoy music anytime and anywhere. Consequently, there has been an increasing demand in …

Current music recommender systems typically act in a greedy manner by recommending
songs with the highest user ratings. Greedy recommendation, however, is suboptimal over …

We propose a label propagation approach to geolocation prediction based on Modified
Adsorption, with two enhancements:(1) the removal of" celebrity" nodes to increase location …

The fast growth of online communities and increasing popularity of internet-accessing smart
devices have significantly changed the way people consume and share music. As an …

The design of recommendation algorithms aware of the user's context has been the subject
of great interest in the scientific community, especially in the music domain where contextual …

The amount of user-generated multimedia content (UGC) has increased rapidly in recent
years due to the ubiquitous availability of smartphones, digital cameras, and affordable …

The digitization of music, the emergence of online streaming platforms and mobile apps
have dramatically changed the ways we consume music. Today, much of the music that we …