Patents by Inventor Pere Ferrera

Pere Ferrera has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 8996540
    Abstract: Disclosed are embodiments of systems and methods for recommending relevant users to other users in a user community. In one implementation of such a method, two different sets of data are considered: a) music (or other items) that users have been listening to (or otherwise engaging), and b) music (or other items) recommendations that users have been given. In some embodiments, pre-computation methods allow the system to efficiently compare item sets and recommended item sets among the users in the community. Such comparisons may also comprise metrics that the system can use to figure out which users should be recommended for a given target user.
    Type: Grant
    Filed: November 30, 2012
    Date of Patent: March 31, 2015
    Assignee: Apple Inc.
    Inventors: Marc Torrens, Pere Ferrera
  • Patent number: 8356038
    Abstract: Disclosed are embodiments of systems and methods for recommending relevant users to other users in a user community. In one implementation of such a method, two different sets of data are considered: a) music (or other items) that users have been listening to (or otherwise engaging), and b) music (or other items) recommendations that users have been given. In some embodiments, pre-computation methods allow the system to efficiently compare item sets and recommended item sets among the users in the community. Such comparisons may also comprise metrics that the system can use to figure out which users should be recommended for a given target user.
    Type: Grant
    Filed: June 13, 2011
    Date of Patent: January 15, 2013
    Assignee: Apple Inc.
    Inventors: Marc Torrens, Pere Ferrera
  • Publication number: 20110246497
    Abstract: Disclosed are embodiments of systems and methods for recommending relevant users to other users in a user community. In one implementation of such a method, two different sets of data are considered: a) music (or other items) that users have been listening to (or otherwise engaging), and b) music (or other items) recommendations that users have been given. In some embodiments, pre-computation methods allow the system to efficiently compare item sets and recommended item sets among the users in the community. Such comparisons may also comprise metrics that the system can use to figure out which users should be recommended for a given target user.
    Type: Application
    Filed: June 13, 2011
    Publication date: October 6, 2011
    Applicant: STRANDS, INC.
    Inventors: Marc Torrens, Pere Ferrera
  • Patent number: 7962505
    Abstract: Disclosed are embodiments of systems and methods for recommending relevant users to other users in a user community. In one implementation of such a method, two different sets of data are considered: a) music (or other items) that users have been listening to (or otherwise engaging), and b) music (or other items) recommendations that users have been given. In some embodiments, pre-computation methods allow the system to efficiently compare item sets and recommended item sets among the users in the community. Such comparisons may also comprise metrics that the system can use to figure out which users should be recommended for a given target user.
    Type: Grant
    Filed: December 19, 2006
    Date of Patent: June 14, 2011
    Assignee: Strands, Inc.
    Inventors: Marc Torrens, Pere Ferrera
  • Publication number: 20070203790
    Abstract: Disclosed are embodiments of systems and methods for recommending relevant users to other users in a user community. In one implementation of such a method, two different sets of data are considered: a) music (or other items) that users have been listening to (or otherwise engaging), and b) music (or other items) recommendations that users have been given. In some embodiments, pre-computation methods allow the system to efficiently compare item sets and recommended item sets among the users in the community. Such comparisons may also comprise metrics that the system can use to figure out which users should be recommended for a given target user.
    Type: Application
    Filed: December 19, 2006
    Publication date: August 30, 2007
    Applicant: MusicStrands, Inc.
    Inventors: Marc Torrens, Pere Ferrera