Patents by Inventor Winston Christie-Blick

Winston Christie-Blick 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).

  • Recommending user actions based on collective intelligence for a multi-tenant data analysis system
    Patent number: 10121157
    Abstract: A multi-tenant system stores data for customers. The multi-tenant system presents user interfaces allowing users associated with the customers to perform analysis of data stored for the customer. The multi-tenant system determines recommendations for subsequent user actions that can be performed by a user in a context. The context includes a report being analyzed, a type of visualization of the report, one or more interactions performed by the user with the report, and so on. The multi-tenant system presents one or more widgets based on the recommendations that allow the user to perform the recommended action. The multi-tenant system may determine a recommendation based on past interactions of a subset of users of the multi-tenant system, for example, users associated with a type of industry, users having a particular role in an organization, or a level of experience of the user with analysis of data.
    Type: Grant
    Filed: April 17, 2015
    Date of Patent: November 6, 2018
    Assignee: GoodData Corporation
    Inventors: Gaurav Vijay Agarwal, Jan Vlcek, Winston Christie-Blick, Michael {hacek over (S)}tencl, Martin Matula
  • Recommending User Actions Based on Collective Intelligence for a Multi-Tenant Data Analysis System
    Publication number: 20160307210
    Abstract: A multi-tenant system stores data for customers. The multi-tenant system presents user interfaces allowing users associated with the customers to perform analysis of data stored for the customer. The multi-tenant system determines recommendations for subsequent user actions that can be performed by a user in a context. The context includes a report being analyzed, a type of visualization of the report, one or more interactions performed by the user with the report, and so on. The multi-tenant system presents one or more widgets based on the recommendations that allow the user to perform the recommended action. The multi-tenant system may determine a recommendation based on past interactions of a subset of users of the multi-tenant system, for example, users associated with a type of industry, users having a particular role in an organization, or a level of experience of the user with analysis of data.
    Type: Application
    Filed: April 17, 2015
    Publication date: October 20, 2016
    Inventors: Gaurav Vijay Agarwal, Jan Vlcek, Winston Christie-Blick, Michael Stencl, Martin Matula