Patents by Inventor Jeroen Antonius Egidius Habraken

Jeroen Antonius Egidius Habraken 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).

  • Delaying Requested Deletion Of Datasets
    Publication number: 20230384965
    Abstract: Delaying deletion of a dataset, including: determining that deletion of a dataset at a storage system should be delayed by an amount of time representing a time period between a requested deletion time and a delayed deletion time; and delaying deletion of the dataset based on the determined amount of time.
    Type: Application
    Filed: August 15, 2023
    Publication date: November 30, 2023
    Inventors: CHENGUANG SUN, JEROEN ANTONIUS EGIDIUS HABRAKEN, CHIA-HAO KAN, QINGYU ZHANG, DAVID GRUNWALD, LARRY TOUCHETTE, JOHN COLGROVE
  • Delaying deletion of a dataset
    Patent number: 11733908
    Abstract: Delaying deletion of a dataset, including: associating an eradication timer with the dataset, wherein the eradication timer specifies an amount of time to delay a requested deletion of the dataset; determining that the amount of time to delay the requested deletion of the dataset should be modified; and modifying the eradication timer to specify a modified amount of time to delay the requested deletion of the dataset.
    Type: Grant
    Filed: April 30, 2021
    Date of Patent: August 22, 2023
    Assignee: PURE STORAGE, INC.
    Inventors: Chenguang Sun, Jeroen Antonius Egidius Habraken, Chia-Hao Kan, Qingyu Zhang, David Grunwald, Larry Touchette, John Colgrove
  • DYNAMIC CHECKOUT PAGE OPTIMIZATION TO FORESTALL NEGATIVE USER ACTION
    Publication number: 20230038609
    Abstract: In an example embodiment, a method for processing payments made via an electronic payment processing system is provided. An example method includes obtaining training data from a data source. The training data relates to prior purchases made via the electronic payment processing system, wherein the data source includes, in some examples, only a checkout page in a purchase transaction funnel. Features associated with a negative user action in relation to prior purchases are identified. A machine learning algorithm produces a dynamic transactional behavior score indicative of a probability that a purchase will invoke a negative user action.
    Type: Application
    Filed: October 18, 2022
    Publication date: February 9, 2023
    Inventor: Jeroen Antonius Egidius Habraken
  • Dynamic checkout page optimization using machine-learned model
    Patent number: 11508001
    Abstract: In an example embodiment, a method for processing payments made via an electronic payment processing system is provided. An example method includes obtaining training data from a data source. The training data relates to prior purchases made via the electronic payment processing system, wherein the data source includes, in some examples, only a checkout page in a purchase transaction funnel. Features associated with a negative user action in relation to prior purchases are identified. A machine learning algorithm produces a dynamic transactional behavior score indicative of a probability that a purchase will invoke a negative user action.
    Type: Grant
    Filed: February 12, 2019
    Date of Patent: November 22, 2022
    Assignee: Stripe, Inc.
    Inventor: Jeroen Antonius Egidius Habraken
  • DELAYING DELETION OF A DATASET
    Publication number: 20210247906
    Abstract: Delaying deletion of a dataset, including: associating an eradication timer with the dataset, wherein the eradication timer specifies an amount of time to delay a requested deletion of the dataset; determining that the amount of time to delay the requested deletion of the dataset should be modified; and modifying the eradication timer to specify a modified amount of time to delay the requested deletion of the dataset.
    Type: Application
    Filed: April 30, 2021
    Publication date: August 12, 2021
    Inventors: CHENGUANG SUN, JEROEN ANTONIUS EGIDIUS HABRAKEN, CHIA-HAO KAN, QINGYU ZHANG, DAVID GRUNWALD, LARRY TOUCHETTE, JOHN COLGROVE
  • DYNAMIC CHECKOUT PAGE OPTIMIZATION USING MACHINE-LEARNED MODEL
    Publication number: 20200258141
    Abstract: In an example embodiment, a method for processing payments made via an electronic payment processing system is provided. An example method includes obtaining training data from a data source. The training data relates to prior purchases made via the electronic payment processing system, wherein the data source includes, in some examples, only a checkout page in a purchase transaction funnel. Features associated with a negative user action in relation to prior purchases are identified. A machine learning algorithm produces a dynamic transactional behavior score indicative of a probability that a purchase will invoke a negative user action.
    Type: Application
    Filed: February 12, 2019
    Publication date: August 13, 2020
    Inventor: Jeroen Antonius Egidius Habraken