Music recommender according to the user current mood

Abstract

The researcher reviews the RS human-centered design that considers the mood of the user prior to making a recommendation, whereby the term mood refers to the continuously changing general emotional states felt by users. Mood management theory stipulates that people will adjust their environment, including deciding to expose themselves to certain media, for the tenacities of dealing with their emotional state. However, the context-awareness has turn out to be one on the interior technologies yet the critical function for utility applications of inclusive computing environment. The venture concerning the use of context data for inferring a user’s state of affairs is referred according to, namely, adherence reasoning. In this research, we included the functionality about affection cause in a music recommendation system taking into account the mood management theory. Our proposed system includes certain modules like, Mood Module and Recommendation Module. The Mood Module determines the genre on the music suitable according to the user’s context. Finally, the Recommendation Module recommends the track according to the user current mood.