Context-Aware Recommender Systems in the Music Domain: A Systematic Literature Review

The design of recommendation algorithms aware the user’s context has been subject great interest in scientific community, especially music domain where contextual factors have a significant impact on recommendations. In this type system, information can come from different sources such as specific time day, physical activity, and geolocation, among many others. This is generally obtained by electronic devices used user to listen smartphones other secondary wearables Internet Things (IoT) devices. objective paper present systematic literature review analyze recent work date field context-aware recommender systems specifically recommendation. aims classify information, collect it, main outstanding challenges possible opportunities for future research directions.