Patents by Inventor Amit Kagian

Amit Kagian 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).

  • METHOD AND SYSTEM FOR ADAPTIVE ONLINE UPDATING OF AD RELATED MODELS
    Publication number: 20230230125
    Abstract: The present teaching relates to generating an updated model related to advertisement selection. In one example, a request is obtained for updating a model to be utilized for selecting an advertisement. A plurality of copies of the model is generated. The model is pre-selected based on a performance metric related to advertisement selection. Based on each of the plurality of copies, a candidate model is created by modifying one or more parameters of the copy of the model to create a plurality of candidate models. One of the plurality of candidate models is selected based on the performance metric. The steps of generating, creating, and selecting are repeated until a predetermined condition is met. The model is updated with the latest selected candidate model when the predetermined condition is met.
    Type: Application
    Filed: December 16, 2022
    Publication date: July 20, 2023
    Inventors: Amit Kagian, Michal Aharon, Oren Shlomo Somekh
  • Method and system for adaptive online updating of ad related models
    Patent number: 11544740
    Abstract: The present teaching relates to generating an updated model related to advertisement selection. In one example, a request is obtained for updating a model to be utilized for selecting an advertisement. A plurality of copies of the model is generated. The model is pre-selected based on a performance metric related to advertisement selection. Based on each of the plurality of copies, a candidate model is created by modifying one or more parameters of the copy of the model to create a plurality of candidate models. One of the plurality of candidate models is selected based on the performance metric. The steps of generating, creating, and selecting are repeated until a predetermined condition is met. The model is updated with the latest selected candidate model when the predetermined condition is met.
    Type: Grant
    Filed: February 15, 2017
    Date of Patent: January 3, 2023
    Assignee: YAHOO AD TECH LLC
    Inventors: Amit Kagian, Michal Aharon, Oren Shlomo Somekh
  • METHOD AND SYSTEM FOR ADAPTIVE ONLINE UPDATING OF AD RELATED MODELS
    Publication number: 20180232660
    Abstract: The present teaching relates to generating an updated model related to advertisement selection. In one example, a request is obtained for updating a model to be utilized for selecting an advertisement. A plurality of copies of the model is generated. The model is pre-selected based on a performance metric related to advertisement selection. Based on each of the plurality of copies, a candidate model is created by modifying one or more parameters of the copy of the model to create a plurality of candidate models. One of the plurality of candidate models is selected based on the performance metric. The steps of generating, creating, and selecting are repeated until a predetermined condition is met. The model is updated with the latest selected candidate model when the predetermined condition is met.
    Type: Application
    Filed: February 15, 2017
    Publication date: August 16, 2018
    Inventors: Amit Kagian, Michal Aharon, Oren Shlomo Somekh