Patents by Inventor Mateusz Fedoryszak

Mateusz Fedoryszak 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).

  • Publication number: 20220365996
    Abstract: According to an aspect, a method for event detection on social data streams includes receiving a stream of messages exchanged on a messaging platform, and detecting an event from the stream of messages, which may include detecting a first cluster group of trending entities over a first period of time, detecting a second group of trending entities over a second period of time, and generating a cluster chain by linking the second cluster group with the first cluster group, where the cluster chain represents the detected event over the first and second periods of time. The method includes storing the event as the cluster chain in a memory device on the messaging platform.
    Type: Application
    Filed: April 19, 2022
    Publication date: November 17, 2022
    Inventors: Mateusz Fedoryszak, Brent Frederick, Vijayendrasastha Rajaram, Changtao Zhong
  • Patent number: 11334636
    Abstract: According to an aspect, a method for event detection on social data streams includes receiving a stream of messages exchanged on a messaging platform, and detecting an event from the stream of messages, which may include detecting a first cluster group of trending entities over a first period of time, detecting a second group of trending entities over a second period of time, and generating a cluster chain by linking the second cluster group with the first cluster group, where the cluster chain represents the detected event over the first and second periods of time. The method includes storing the event as the cluster chain in a memory device on the messaging platform.
    Type: Grant
    Filed: January 29, 2020
    Date of Patent: May 17, 2022
    Assignee: Twitter, Inc.
    Inventors: Mateusz Fedoryszak, Brent Frederick, Vijayendrasastha Rajaram, Changtao Zhong
  • Publication number: 20200250249
    Abstract: According to an aspect, a method for event detection on social data streams includes receiving a stream of messages exchanged on a messaging platform, and detecting an event from the stream of messages, which may include detecting a first cluster group of trending entities over a first period of time, detecting a second group of trending entities over a second period of time, and generating a cluster chain by linking the second cluster group with the first cluster group, where the cluster chain represents the detected event over the first and second periods of time. The method includes storing the event as the cluster chain in a memory device on the messaging platform.
    Type: Application
    Filed: January 29, 2020
    Publication date: August 6, 2020
    Inventors: Mateusz Fedoryszak, Brent Frederick, Vijayendrasastha Rajaram, Changtao Zhong