Automatic and user-tailored playlist sequencing

Social technologies have revolutionized the world of music and playlists have become the new radios. However, the production of playlists has been mainly focused on identifying the songs that the listener might like, disregarding the songs sequencing process. In this paper, we propose a highly user-oriented sequencing method. The idea is to use the user's listening history to identify a possible sequencing criterion used by the user when playing out songs. The proposed method is then evaluated with real users and results showed the importance of personalization in the playlist sequencing process. Although the study is still in its early stage, results are promising and, in the future, we plan to personalize the sequencing process even more.