Patents by Inventor Art HAEDIKE

Art HAEDIKE 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).

  • Multi-touch attribution and control group creation using private commutative encrypted match service
    Patent number: 11494510
    Abstract: Some implementations disclosed herein enable matching identifiers across multiple sources. This may involve adding a unique attribute (e.g., anonymous unique homomorphic identifiers) and/or using randomization to enable comparing data from multiple sources, while also maintaining data privacy. In one example, matches across multiple sources are identified, for example, identifying that there are 100 user identifiers that are in private data sets of three different sources. Such matching may be used to enable private, multi-touch attribution. In another example, techniques are used to determine that data maintained by one source is not also within other sources (e.g., identifying that there are 200 user identifiers that are in data from a first source but not in data from a second source and not in data from a third source. Such determinations may be used to generate control group data that does not match data from other sources.
    Type: Grant
    Filed: March 4, 2021
    Date of Patent: November 8, 2022
    Assignee: INMARKET MEDIA, LLC
    Inventors: John Raymond Klein, Mark Christopher Dixon, Clark Alan Burdick, Art Haedike, Partha Chowdhury
  • Multi-Touch Attribution and Control Group Creation Using Private Commutative Encrypted Match Service
    Publication number: 20220284114
    Abstract: Some implementations disclosed herein enable matching identifiers across multiple sources. This may involve adding a unique attribute (e.g., anonymous unique homomorphic identifiers) and/or using randomization to enable comparing data from multiple sources, while also maintaining data privacy. In one example, matches across multiple sources are identified, for example, identifying that there are 100 user identifiers that are in private data sets of three different sources. Such matching may be used to enable private, multi-touch attribution. In another example, techniques are used to determine that data maintained by one source is not also within other sources (e.g., identifying that there are 200 user identifiers that are in data from a first source but not in data from a second source and not in data from a third source. Such determinations may be used to generate control group data that does not match data from other sources.
    Type: Application
    Filed: March 4, 2021
    Publication date: September 8, 2022
    Inventors: John Raymond KLEIN, Mark Christopher DIXON, Clark Alan BURDICK, Art HAEDIKE, Partha CHOWDHURY