Patents by Inventor Jeffrey Aaron Kolb

Jeffrey Aaron Kolb 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 detection in a messaging platform
    Patent number: 11025735
    Abstract: A system and method for trend detection in a messaging platform. A trend detection model is selected and a time series having a plurality of instances of social data is received, wherein the instances of social data share a countable parameter. A count is made of occurrences of countable parameters in each instance of social data assigned to that bin and a trend detected based at least in part on the trend detection model and on the count for each bin.
    Type: Grant
    Filed: May 4, 2020
    Date of Patent: June 1, 2021
    Assignee: Twitter, Inc.
    Inventors: Scott Hendrickson, Jeffrey Aaron Kolb, Joshua Montague, Brian Lehman
  • Trend Detection in a Messaging Platform
    Publication number: 20200267229
    Abstract: A system and method for trend detection in a messaging platform. A trend detection model is selected and a time series having a plurality of instances of social data is received, wherein the instances of social data share a countable parameter. A count is made of occurrences of countable parameters in each instance of social data assigned to that bin and a trend detected based at least in part on the trend detection model and on the count for each bin.
    Type: Application
    Filed: May 4, 2020
    Publication date: August 20, 2020
    Inventors: Scott Hendrickson, Jeffrey Aaron Kolb, Joshua Montague, Brian Lehman
  • Trend detection in a messaging platform
    Patent number: 10681161
    Abstract: A system and method for trend detection in a messaging platform. A trend detection model is selected and a time series having a plurality of instances of social data is received, wherein the instances of social data share a countable parameter. A count is made of occurrences of countable parameters in each instance of social data assigned to that bin and a trend detected based at least in part on the trend detection model and on the count for each bin.
    Type: Grant
    Filed: April 19, 2019
    Date of Patent: June 9, 2020
    Assignee: Twitter, Inc.
    Inventors: Scott Hendrickson, Jeffrey Aaron Kolb, Joshua Montague, Brian Lehman
  • TREND DETECTION IN A MESSAGING PLATFORM
    Publication number: 20190245938
    Abstract: A system and method for trend detection in a messaging platform. A trend detection model is selected and a time series having a plurality of instances of social data is received, wherein the instances of social data share a countable parameter. A count is made of occurrences of countable parameters in each instance of social data assigned to that bin and a trend detected based at least in part on the trend detection model and on the count for each bin.
    Type: Application
    Filed: April 19, 2019
    Publication date: August 8, 2019
    Inventors: Scott Hendrickson, Jeffrey Aaron Kolb, Joshua Montague, Brian Lehman
  • Trend detection in a messaging platform
    Patent number: 10277693
    Abstract: A system and method for trend detection in a messaging platform. A trend detection model is selected and a time series having a plurality of instances of social data is received, wherein the instances of social data share a countable parameter. A count is made of occurrences of countable parameters in each instance of social data assigned to that bin and a trend detected based at least in part on the trend detection model and on the count for each bin.
    Type: Grant
    Filed: June 6, 2016
    Date of Patent: April 30, 2019
    Assignee: Twitter, Inc.
    Inventors: Scott Hendrickson, Jeffrey Aaron Kolb, Joshua Montague, Brian Lehman
  • TREND DETECTION IN A MESSAGING PLATFORM
    Publication number: 20160359993
    Abstract: A system and method for trend detection in a messaging platform. A trend detection model is selected and a time series having a plurality of instances of social data is received, wherein the instances of social data share a countable parameter. A count is made of occurrences of countable parameters in each instance of social data assigned to that bin and a trend detected based at least in part on the trend detection model and on the count for each bin.
    Type: Application
    Filed: June 6, 2016
    Publication date: December 8, 2016
    Inventors: Scott Hendrickson, Jeffrey Aaron Kolb, Joshua Montague, Brian Lehman