Spotify Me: Facebook-assisted automatic playlist generation

Arthur Germain, Jacob Chakareski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

We design a novel method for automatically generating a playlist of recommended songs in the popular social music sharing application Spotify that are liked with high probability by a user. Our method employs multiple seed artists as an input that are obtained via the Facebook likes of artists and the listening history of songs of a Spotify user. First, we construct an input vector comprising all the artists that the user likes on Facebook and listens to in Spotify. Then, we search for other artists and bands related to them using EchoNest, an online state-of-the-art machine learning platform. We assign a score to every artist in the thereby obtained collection, based on the frequency of his/her appearance. Finally, we construct a playlist comprising randomly selected popular songs associated with the most frequently cited artists. We examine the recommendation performance of our algorithm by computing its WTF score (fraction of disliked songs) and novelty factor (fraction of new liked songs) on playlists generated for different seed input sizes. We observe that our approach substantially outperforms the built-in Spotify Radio recommender. On 30 song playlists, we are able to improve the WTF score by 49% and the novelty factor by 42%, on average. Due to its general design, our method is broadly applicable to a variety of personal content management scenarios.

Original languageEnglish (US)
Title of host publication2013 IEEE International Workshop on Multimedia Signal Processing, MMSP 2013
Pages25-28
Number of pages4
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 IEEE 15th International Workshop on Multimedia Signal Processing, MMSP 2013 - Pula, Sardinia, Italy
Duration: Sep 30 2013Oct 2 2013

Publication series

Name2013 IEEE International Workshop on Multimedia Signal Processing, MMSP 2013

Conference

Conference2013 IEEE 15th International Workshop on Multimedia Signal Processing, MMSP 2013
Country/TerritoryItaly
CityPula, Sardinia
Period9/30/1310/2/13

All Science Journal Classification (ASJC) codes

  • Signal Processing

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