  Automatic systems for music content recommendation have assumed a new role in
recent years. These systems have transformed from being just a convenient,
standalone tool into an inseparable element of modern living. In addition, not
only do these systems strongly influence human moods and feelings with the
selection of proper music content, but they also provide significant commercial
and advertising opportunities. This research aims to examine and implement two
such systems available for the automatic recognition and recommendation of
music and advertisement content for Internet radio. Through analysis of the
practical issues of application fields and spheres of influence, conclusions
will be drawn about the possible perspectives on and future role of such
systems. Other content adaptation that is based on music genres will be
discussed, as wellAnother aim of this study is to provide an innovative
Internet radio implementation as compared to traditional radio and other
Internet broadcast solutions. This will include automatic content
recommendation systems for listeners and marketing companies, as well as the
usage of a voice synthesizer in in automatic program scheduling.
