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Computer processes for predicting media item popularity

  • US 10,546,309 B2
  • Filed: 08/04/2017
  • Issued: 01/28/2020
  • Est. Priority Date: 09/23/2013
  • Status: Active Grant
First Claim
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1. A computer-implemented method comprising:

  • retrieving media interaction information reflecting user interaction with a set of popular media items, wherein popular media items are associated with satisfaction of a set of popularity criteria;

    determining a set of users that interacted with individual media items of the set of popular media items prior to popularity of respective individual media items, wherein the set of users are determined based at least in part on the media interaction information;

    assigning scores to individual users of the set of users, wherein a score of an individual user is based at least in part on a length of time between i) an initial interaction of the individual user with the respective individual media items and ii) a point in time at which the respective individual media items satisfied the set of popularity criteria;

    retrieving user interaction information reflecting interactions of the set of users with a set of media items not yet popular on a music distribution system;

    ranking the set of media items that are not yet popular based at least in part on the scores of the individual users and the user interaction information reflecting interactions of the set of users;

    generating, based on rankings of the set of media items, a recommendation to at least one user of the music distribution system for a media item of the set of media items that are not yet popular; and

    transmitting the recommendation to a computing device of the at least one user;

    wherein said method is performed entirely by a computer system that comprises one or more computing devices.

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