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Automatic systems for music content recommendation have assumed a new role inrecent years. These systems have transformed from being just a convenient,standalone tool into an inseparable element of modern living. In addition, notonly do these systems strongly influence human moods and feelings with theselection of proper music content, but they also provide significant commercialand advertising opportunities. This research aims to examine and implement twosuch systems available for the automatic recognition and recommendation ofmusic and advertisement content for Internet radio. Through analysis of thepractical issues of application fields and spheres of influence, conclusionswill be drawn about the possible perspectives on and future role of suchsystems. Other content adaptation that is based on music genres will bediscussed, as wellAnother aim of this study is to provide an innovativeInternet radio implementation as compared to traditional radio and otherInternet broadcast solutions. This will include automatic contentrecommendation systems for listeners and marketing companies, as well as theusage of a voice synthesizer in in automatic program scheduling.

Building an Internet Radio System with Interdisciplinary factored system for automatic content recommendation