Distributional Models vs. Linked Data: Exploiting Crowdsourcing to Personalize Music Playlists.
Cataldo Musto, Fedelucio Narducci, Giovanni Maria Semeraro, Pasquale Lops, Marco de Gemmis · IIR eBooks · 2013
This paper presents Play.me, a system that exploits social media to generate personalized music playlists. First, we extracted user preferences in music by mining Facebook proles. Next, given this prelim- inary playlist based on explicit preferences, we enriched it by adding new artists related to those the user already likes. In this work two dierent enrichment techniques are compared: the rst one relies on knowledge stored on DBpedia while the latter is based on the similarity calculations between semantic descriptions of the artists. A prototype version of the tool was made available online in order to carry out a preliminary user study to evaluate the best enrichment strategy. This paper summarizes the results presented in EC-Web 2012 (3).