- Rockin’ Patent®: US Patent No. 11,263,532
- Filed: 22 April 2016
- In the name of: Spotify AB
- Title: System And Method For Breaking Artist Prediction In A Media Content Environment
- What’s claimed: “A system for predicting an artist that creates media content who is more likely to increase in popularity than other artists, the system comprising: one or more processors and a media server executing thereon; and a device memory storing computer program code which, when executed by the one or more processors, causes the media server to: determine, based on aggregated historical data, one or more artists that are generators of media content from within a plurality of artists, as indicated by: a minimum playback threshold indicative of a number of playback requests associated with a generator during a period of time, and a minimum growth threshold indicative of a rate of increase of the playback requests associated with the generator; determine a plurality of users, ordered by playback request count, who requested playback of media content items associated with the generators within a window of time; identify one or more early adopters within the plurality of users based on a quantity of the generators whose media content items were requested for playback by those users, and associating a score value with each early adopter indicative of their playback requests of generator media content; and predict an additional artist that creates media content who is more likely to increase in popularity based on a number of requested playbacks of media content items associated with the additional artist by the one or more early adopters weighted according to score values of the early adopters.”
- Why this patent rocks: This patent appears to relate to Spotify AB’s technology that is said to predict which unknown artists on the platform are likely to increase in popularity. The system determines one or more early adopters from its user base; an early adopter is a user who requested playback of media content from a plurality of breaking artists. The system then collects data from the listening patterns of early adopters, used to predict what artist is going to be deemed “breaking.”
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