Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …

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 …

Existing music recommendation systems rely on collaborative filtering or content-based
technologies to satisfy users' long-term music playing needs. Given the popularity of mobile …

The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce, personalization, information …

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 …

In the world of Big Data, a tool capable of filtering data and providing choice support is
crucial. Recommender Systems have this aim. These have evolved further through the use …

Transportation is considered as one of the main human needs in any country for macro-level
planning. Due to increased production of vehicles, problems and issues associated with …

Personalization and context-awareness are highly important topics in research on Intelligent
Information Systems. In the fields of Music Information Retrieval (MIR) and Music …

Economic, cultural, social, and political life is being increasingly shaped by digital platforms
including social networking sites (Facebook), streaming services (Netflix) and sharing …

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 …