Patents by Inventor Gareth Maguire

Gareth Maguire 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).

  • Top contributor recommendation for cloud analytics
    Patent number: 11675765
    Abstract: A system and method including determining, for a specified target measure column of a first dataset including a plurality of records, the metadata of the first dataset, including a probability distribution for the specified target column and dimension scores for the dimensions for the first dataset conditioned on the specified target measure column, where the first dataset comprises a plurality of columns including the at least one target measure column and a plurality of non-numeric, dimension columns for the records of the first dataset; determining, for a subset of data of the first dataset based on one or more specified variables, dimension scores for the dimensions of the subset of data approximately derived from the determined metadata of the first dataset; and providing recommendations of top contributors based on the approximated dimension scores of dimensions of the subset of data.
    Type: Grant
    Filed: May 25, 2021
    Date of Patent: June 13, 2023
    Assignee: BUSINESS OBJECTS SOFTWARE LTD.
    Inventors: Ying Wu, Malte Christian Kaufmann, Alan McShane, Anirban Banerjee, Gareth Maguire
  • TOP CONTRIBUTOR RECOMMENDATION FOR CLOUD ANALYTICS
    Publication number: 20220382729
    Abstract: A system and method including determining, for a specified target measure column of a first dataset including a plurality of records, the metadata of the first dataset, including a probability distribution for the specified target column and dimension scores for the dimensions for the first dataset conditioned on the specified target measure column, where the first dataset comprises a plurality of columns including the at least one target measure column and a plurality of non-numeric, dimension columns for the records of the first dataset; determining, for a subset of data of the first dataset based on one or more specified variables, dimension scores for the dimensions of the subset of data approximately derived from the determined metadata of the first dataset; and providing recommendations of top contributors based on the approximated dimension scores of dimensions of the subset of data.
    Type: Application
    Filed: May 25, 2021
    Publication date: December 1, 2022
    Inventors: Ying Wu, Malte Christian Kaufmann, Alan McShane, Anirban Banerjee, Gareth Maguire