Hybrid music recommender using content-based and social information

  title={Hybrid music recommender using content-based and social information},
  author={Paulo Chiliguano and Gy{\"o}rgy Fazekas},
  journal={2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
Internet resources available today, including songs, albums, playlists or podcasts, that a user cannot discover if there is not a tool to filter the items that the user might consider relevant. Several recommendation techniques have been developed since the Internet explosion to achieve this filtering task. In an attempt to recommend relevant songs to users, we propose an hybrid recommender that considers real-world users information and high-level representation for audio data. We use a deep… CONTINUE READING
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