Patents by Inventor Remi MORETTI

Remi MORETTI 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).

  • Performing cache update adaptation
    Patent number: 10901993
    Abstract: A database system includes an original data source storing pieces of original data and a cache source storing pieces of cached data, each associated with an accuracy value. A method of processing queries in the system includes: for each randomly selected client query, retrieving a first piece of cached data matching the query, and retrieving a first piece of original data matching the query; for non-selected client queries, retrieving a second piece of cached data matching the query; evaluating the accuracy value of the second piece of cached data; if the accuracy value is below a given threshold, retrieving a second piece of original data matching the query, and updating the second piece of cached data by the second piece of original data; and adapting a probabilistic model based on the first piece of cached data and the first piece of original data using a machine learning algorithm.
    Type: Grant
    Filed: April 3, 2018
    Date of Patent: January 26, 2021
    Assignee: AMADEUS S.A.S.
    Inventors: Laure Canis, Jerome Bertrand, Marek Herer, Thomas Rondepierre, Divendar Umesh Murtadak, Nicolas Pasquier-Meunier, Remi Moretti, Francis Sauch
  • PERFORMING CACHE UPDATE ADAPTATION
    Publication number: 20190303480
    Abstract: A database system includes an original data source storing pieces of original data and a cache source storing pieces of cached data, each associated with an accuracy value. A method of processing queries in the system includes: for each randomly selected client query, retrieving a first piece of cached data matching the query, and retrieving a first piece of original data matching the query; for non-selected client queries, retrieving a second piece of cached data matching the query; evaluating the accuracy value of the second piece of cached data; if the accuracy value is below a given threshold, retrieving a second piece of original data matching the query, and updating the second piece of cached data by the second piece of original data; and adapting a probabilistic model based on the first piece of cached data and the first piece of original data using a machine learning algorithm.
    Type: Application
    Filed: April 3, 2018
    Publication date: October 3, 2019
    Inventors: Laure CANIS, Jerome BERTRAND, Marek HERER, Thomas RONDEPIERRE, Divendar Umesh MURTADAK, Nicolas PASQUIER-MEUNIER, Remi MORETTI, Francis SAUCH