Patents by Inventor Ammar Tawfiq Ammar

Ammar Tawfiq Ammar 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).

  • System and method for providing personalized recommendations
    Patent number: 9251527
    Abstract: A system and method for providing a personalized recommendation from a series of partial preferences is presented. A preference distribution of a population including a plurality of weighted ranked lists is identified. A revealed preference of a user is compared to the plurality of ranked lists. An affinity weight between the user and each of the plurality of ranked lists is assigned, and a weighted average of each of the affinity weights is taken.
    Type: Grant
    Filed: August 29, 2012
    Date of Patent: February 2, 2016
    Assignee: Massachusetts Institute of Technology
    Inventors: Devavrat Shah, Vivek Francis Farias, Srikanth Jagabathula, Ammar Tawfiq Ammar
  • System and method for finding mood-dependent top selling/rated lists
    Patent number: 9201968
    Abstract: A system and method for determining a rank aggregation from a series of partial preferences is presented. A distribution is learned over preferences from partial preferences with sparse support. A computer receives a plurality of partial preferences selected from two or more preference lists. Weights are assigned to each of said plurality of partial preferences, resulting in multiple ranked lists.
    Type: Grant
    Filed: August 29, 2012
    Date of Patent: December 1, 2015
    Assignee: Massachusetts Institute of Technology
    Inventors: Devavrat Shah, Vivek Francis Farias, Srikanth Jagabathula, Ammar Tawfiq Ammar
  • System and Method For Providing Personalized Recommendations
    Publication number: 20130054498
    Abstract: A system and method for providing a personalized recommendation from a series of partial preferences is presented. A preference distribution of a population including a plurality of weighted ranked lists is identified. A revealed preference of a user is compared to the plurality of ranked lists. An affinity weight between the user and each of the plurality of ranked lists is assigned, and a weighted average of each of the affinity weights is taken.
    Type: Application
    Filed: August 29, 2012
    Publication date: February 28, 2013
    Applicant: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
    Inventors: Devavrat Shah, Vivek Francis Farias, Srikanth Jagabathula, Ammar Tawfiq Ammar
  • System and Method for Finding Mood-Dependent Top Selling/Rated Lists
    Publication number: 20130054616
    Abstract: A system and method for determining a rank aggregation from a series of partial preferences is presented. A distribution is learned over preferences from partial preferences with sparse support. A computer receives a plurality of partial preferences selected from two or more preference lists. Weights are assigned to each of said plurality of partial preferences, resulting in multiple ranked lists.
    Type: Application
    Filed: August 29, 2012
    Publication date: February 28, 2013
    Applicant: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
    Inventors: Ammar Tawfiq Ammar, Vivek Francis Farias, Srikanth Jagabathula, Devavrat Shah