Patents by Inventor Mario Raymond GERARD

Mario Raymond GERARD 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).

  • Software preference affinity recommendation systems and methods
    Patent number: 10579667
    Abstract: The present systems and methods relate to a concept for providing recommendations targeted to particular, “subject” user. The present systems and methods involve obtaining historical usage data associated with the subject user; identifying candidate users; calculating media preference overlap scores with respect to the subject user and each candidate user; ranking the candidate user according to their preference overlap scores, and generating recommendations for the subject user from the historical usage data associated with the candidate users.
    Type: Grant
    Filed: February 19, 2018
    Date of Patent: March 3, 2020
    Inventors: Heng Cao, Mario Raymond Gerard, Aaron Clark Griffith, Yu Wu, Nathan Kent Rozendaal, Benyi Wang
  • Graph-based music recommendation and dynamic media work micro-licensing systems and methods
    Patent number: 10387478
    Abstract: Provided herein are systems and methods for generating a set of recommended media works based on an identified seed media work. The seed media work is used to identify a set of co-occurring media works, which are defined as media works that have been intentionally interacted with within a predetermined time window as the seed media work by a single user. After the co-occurrence set is created, it is ranked and filtered. Media works identified in the co-occurrence set may then be selected based on their ranking.
    Type: Grant
    Filed: December 8, 2015
    Date of Patent: August 20, 2019
    Assignee: RHAPSODY INTERNATIONAL INC.
    Inventors: Heng Cao, Mario Raymond Gerard, Darryl William Wood, Aaron Clark Griffith, Yu Wu, Nathan Kent Rozendaal
  • SOFTWARE PREFERENCE AFFINITY RECOMMENDATION SYSTEMS AND METHODS
    Publication number: 20180189286
    Abstract: The present systems and methods relate to a concept for providing recommendations targeted to particular, “subject” user. The present systems and methods involve obtaining historical usage data associated with the subject user; identifying candidate users; calculating media preference overlap scores with respect to the subject user and each candidate user; ranking the candidate user according to their preference overlap scores, and generating recommendations for the subject user from the historical usage data associated with the candidate users.
    Type: Application
    Filed: February 19, 2018
    Publication date: July 5, 2018
    Inventors: Heng CAO, Mario Raymond GERARD, Aaron Clark GRIFFITH, Yu Wu, Nathan Kent ROZENDAAL, Benyi WANG
  • Media preference affinity recommendation systems and methods
    Patent number: 9898466
    Abstract: The present systems and methods relate to a concept for providing media recommendations targeted to particular, “subject” user. The present systems and methods involve obtaining historical usage data associated with the subject user; identifying candidate users; calculating media preference overlap scores with respect to the subject user and each candidate user; ranking the candidate user according to their media preference overlap scores, and generating recommendations for the subject user from the historical usage data associated with the candidate users.
    Type: Grant
    Filed: July 22, 2016
    Date of Patent: February 20, 2018
    Assignee: RHAPSODY INTERNATIONAL INC.
    Inventors: Heng Cao, Mario Raymond Gerard, Aaron Clark Griffith, Yu Wu, Nathan Kent Rozendaal, Benyi Wang
  • MEDIA PREFERENCE AFFINITY RECOMMENDATION SYSTEMS AND METHODS
    Publication number: 20180025005
    Abstract: The present systems and methods relate to a concept for providing media recommendations targeted to particular, “subject” user. The present systems and methods involve obtaining historical usage data associated with the subject user; identifying candidate users; calculating media preference overlap scores with respect to the subject user and each candidate user; ranking the candidate user according to their media preference overlap scores, and generating recommendations for the subject user from the historical usage data associated with the candidate users.
    Type: Application
    Filed: July 22, 2016
    Publication date: January 25, 2018
    Inventors: Heng CAO, Mario Raymond GERARD, Aaron Clark GRIFFITH, Yu Wu, Nathan Kent ROZENDAAL
  • GRAPH-BASED MUSIC RECOMMENDATION AND DYNAMIC MEDIA WORK MICRO-LICENSING SYSTEMS AND METHODS
    Publication number: 20170161273
    Abstract: Provided herein are systems and methods for generating a set of recommended media works based on an identified seed media work. The seed media work is used to identify a set of co-occurring media works, which are defined as media works that have been intentionally interacted with within a predetermined time window as the seed media work by a single user. After the co-occurrence set is created, it is ranked and filtered. Media works identified in the co-occurrence set may then be selected based on their ranking.
    Type: Application
    Filed: December 8, 2015
    Publication date: June 8, 2017
    Inventors: Heng CAO, Mario Raymond GERARD, Darryl William WOOD, Aaron Clark GRIFFITH, Yu Wu, Nathan Kent ROZENDAAL