Patents by Inventor Giulio D'Ali' Aula

Giulio D'Ali' Aula 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: 11126609
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a feature clustering of users, user correlation database access, and user interface generation system. The system can obtain information stored in different databases located across geographic regions, and determine unique users from the different information. The information can be included in unique records in the databases, with each record describing a particular user, and with each user described with imperfect identifying information. The system can analyze the different information utilizing machine learning models, and can associate each record with a particular unique user. The system can obtain identifications of items associated with each user, and determine the propensity of the user to disassociate with one or more items, or determine likelihoods of future association with different items not presently associated with the user.
    Type: Grant
    Filed: November 21, 2018
    Date of Patent: September 21, 2021
    Assignee: Palantir Technologies Inc.
    Inventors: Matthew Elkherj, Xavier Falco, Pierre Cholet, Giulio D'Ali' Aula, Andrew Ehrich
  • Publication number: 20190108249
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a feature clustering of users, user correlation database access, and user interface generation system. The system can obtain information stored in different databases located across geographic regions, and determine unique users from the different information. The information can be included in unique records in the databases, with each record describing a particular user, and with each user described with imperfect identifying information. The system can analyze the different information utilizing machine learning models, and can associate each record with a particular unique user. The system can obtain identifications of items associated with each user, and determine the propensity of the user to disassociate with one or more items, or determine likelihoods of future association with different items not presently associated with the user.
    Type: Application
    Filed: November 21, 2018
    Publication date: April 11, 2019
    Inventors: Matthew Elkherj, Xavier Falco, Pierre Cholet, Giulio D'Ali' Aula, Andrew Ehrich
  • Patent number: 10140327
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a feature clustering of users, user correlation database access, and user interface generation system. The system can obtain information stored in different databases located across geographic regions, and determine unique users from the different information. The information can be included in unique records in the databases, with each record describing a particular user, and with each user described with imperfect identifying information. The system can analyze the different information utilizing machine learning models, and can associate each record with a particular unique user. The system can obtain identifications of items associated with each user, and determine the propensity of the user to disassociate with one or more items, or determine likelihoods of future association with different items not presently associated with the user.
    Type: Grant
    Filed: August 17, 2016
    Date of Patent: November 27, 2018
    Assignee: Palantir Technologies Inc.
    Inventors: Matthew Elkherj, Xavier Falco, Pierre Cholet, Giulio D'Ali' Aula, Andrew Ehrich
  • Publication number: 20170060930
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a feature clustering of users, user correlation database access, and user interface generation system. The system can obtain information stored in different databases located across geographic regions, and determine unique users from the different information. The information can be included in unique records in the databases, with each record describing a particular user, and with each user described with imperfect identifying information. The system can analyze the different information utilizing machine learning models, and can associate each record with a particular unique user. The system can obtain identifications of items associated with each user, and determine the propensity of the user to disassociate with one or more items, or determine likelihoods of future association with different items not presently associated with the user.
    Type: Application
    Filed: August 17, 2016
    Publication date: March 2, 2017
    Inventors: Matthew Elkherj, Xavier Falco, Pierre Cholet, Giulio D'Ali' Aula, Andrew Enrich