Distributional models vs. Linked Data: exploiting crowdsourcing to personalize music playlists

This paper presents Play.me, a system that exploits socialmedia to generate personalized music playlists. First, we extracted userpreferences in music by mining Facebook profiles. Next, given this prelim-inary playlist based on explicit preferences, we enriched it by adding newartists related to those the user already likes. In this work two differentenrichment techniques are compared: the first one relies on knowledgestored on DBpedia while the latter is based on the similarity calculationsbetween semantic descriptions of the artists. A prototype version of thetool was made available online in order to carry out a preliminary userstudy to evaluate the best enrichment strategy. This paper summarizesthe results presented in EC-Web 2012 [3].