Patents by Inventor Matthew Rivard

Matthew Rivard 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).

  • Trend based distribution parameter suggestion
    Patent number: 9846722
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content are disclosed. In one aspect, a method includes accessing data specifying a plurality of search queries. Content distribution campaigns (“campaigns”) in which distribution of at least one content item is conditioned on a distribution parameter matching one of the search queries are identified. Two or more similar campaigns are identified, and a search query that matches a distribution parameter in at least one of the similar campaigns is identified as a candidate content distribution parameter. A trend score for the candidate content distribution parameter is determined based on a change in a submission rate of search queries that match the candidate distribution parameter. Suggestion data suggesting the candidate content distribution parameter as an additional content distribution parameter for at least one of the similar campaigns is provided based on the trend score.
    Type: Grant
    Filed: January 12, 2017
    Date of Patent: December 19, 2017
    Assignee: Google Inc.
    Inventors: Matthew Rivard, Eric Morris
  • Trend based distribution parameter suggestion
    Patent number: 9582538
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content are disclosed. In one aspect, a method includes accessing data specifying a plurality of search queries. Content distribution campaigns (“campaigns”) in which distribution of at least one content item is conditioned on a distribution parameter matching one of the search queries are identified. Two or more similar campaigns are identified, and a search query that matches a distribution parameter in at least one of the similar campaigns is identified as a candidate content distribution parameter. A trend score for the candidate content distribution parameter is determined based on a change in a submission rate of search queries that match the candidate distribution parameter. Suggestion data suggesting the candidate content distribution parameter as an additional content distribution parameter for at least one of the similar campaigns is provided based on the trend score.
    Type: Grant
    Filed: August 11, 2016
    Date of Patent: February 28, 2017
    Assignee: Google Inc.
    Inventors: Matthew Rivard, Eric Morris
  • Trend based distribution parameter suggestion
    Patent number: 9449052
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content are disclosed. In one aspect, a method includes accessing data specifying a plurality of search queries. Content distribution campaigns (“campaigns”) in which distribution of at least one content item is conditioned on a distribution parameter matching one of the search queries are identified. Two or more similar campaigns are identified, and a search query that matches a distribution parameter in at least one of the similar campaigns is identified as a candidate content distribution parameter. A trend score for the candidate content distribution parameter is determined based on a change in a submission rate of search queries that match the candidate distribution parameter. Suggestion data suggesting the candidate content distribution parameter as an additional content distribution parameter for at least one of the similar campaigns is provided based on the trend score.
    Type: Grant
    Filed: January 21, 2014
    Date of Patent: September 20, 2016
    Assignee: Google Inc.
    Inventors: Matthew Rivard, Eric Morris