Music Recommendation and Discovery - The Long Tail, Long Fail, and Long Play in the Digital Music Space

In the last 15 years we have seen a major transformation in the world of music. - sicians use inexpensive personal computers instead of expensive recording studios to record, mix and engineer music. Musicians use the Internet to distribute their - sic for free instead of spending large amounts of money creating CDs, hiring trucks and shipping them to hundreds of record stores. As the cost to create and distribute recorded music has dropped, the amount of available music has grown dramatically. Twenty years ago a typical record store would have music by less than ten thousand artists, while today online music stores have music catalogs by nearly a million artists. While the amount of new music has grown, some of the traditional ways of ?nding music have diminished. Thirty years ago, the local radio DJ was a music tastemaker, ?nding new and interesting music for the local radio audience. Now - dio shows are programmed by large corporations that create playlists drawn from a limited pool of tracks. Similarly, record stores have been replaced by big box reta- ers that have ever-shrinking music departments. In the past, you could always ask the owner of the record store for music recommendations. You would learn what was new, what was good and what was selling. Now, however, you can no longer expect that the teenager behind the cash register will be an expert in new music, or even be someone who listens to music at all.

Sommario

The Recommendation Problem.- Music Recommendation.- The Long Tail in Recommender Systems.- Evaluation Metrics.- Network-Centric Evaluation.- User-Centric Evaluation.- Applications.- Conclusions and Further Research.

Dettagli sul prodotto

• Autori: Òscar Celma
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 15.10.2014
• EAN: 9783642439537
• ISBN: 978-3-642-43953-7
• Pagine: 194
• Dimensioni: 155 mm x 13 mm x 237 mm
• Peso: 332 g
• Illustrazioni: XVI, 194 p.
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; Musik, B, Künstliche Intelligenz, Music, Artificial Intelligence, Diskrete Mathematik, Data Warehousing, Mathematik für Informatiker, computer science, Discrete Mathematics in Computer Science, Discrete Mathematics, Computer science—Mathematics, Maths for computer scientists, Information Storage and Retrieval