Patents by Inventor Idan MICHAELI

Idan MICHAELI 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).

  • Systems and methods for generating adjustment(s) for distributing content variations to target entities for performance of an associated action
    Patent number: 11270334
    Abstract: There is provided a method of calculating a set of sequential adjustments, comprising: designating content variations to clusters of target entities that are compliant with defined target entity feature(s) according to a set of decision rule(s), calculating performance outcome(s) based on an analysis of data collected from execution of the decision rule(s), calculating sequential adjustment(s) of the decision rule(s), according to an analysis of a predicted performance outcome calculated based on assigning content variation(s) to respective target entities according to an adjusted set of decision rules, and wherein each sequential adjustment includes alternative decision rule(s) designating content variation(s) to a respective cluster of target entities that are compliant with entity feature(s), and presenting the sequential adjustment(s) including the target entity feature(s) with which the cluster of target entities is compliant, and alternative decision rule(s) including content variation(s) designated to
    Type: Grant
    Filed: August 30, 2017
    Date of Patent: March 8, 2022
    Assignee: Dynamic Yield Ltd.
    Inventors: Idan Michaeli, Omri Mendellevich
  • SYSTEMS AND METHODS FOR GENERATING ADJUSTMENT(S) FOR DISTRIBUTING CONTENT VARIATIONS TO TARGET ENTITIES FOR PERFORMANCE OF AN ASSOCIATED ACTION
    Publication number: 20190066151
    Abstract: There is provided a method of calculating a set of sequential adjustments, comprising: designating content variations to clusters of target entities that are compliant with defined target entity feature(s) according to a set of decision rule(s), calculating performance outcome(s) based on an analysis of data collected from execution of the decision rule(s), calculating sequential adjustment(s) of the decision rule(s), according to an analysis of a predicted performance outcome calculated based on assigning content variation(s) to respective target entities according to an adjusted set of decision rules, and wherein each sequential adjustment includes alternative decision rule(s) designating content variation(s) to a respective cluster of target entities that are compliant with entity feature(s), and presenting the sequential adjustment(s) including the target entity feature(s) with which the cluster of target entities is compliant, and alternative decision rule(s) including content variation(s) designated to
    Type: Application
    Filed: August 30, 2017
    Publication date: February 28, 2019
    Inventors: Idan MICHAELI, Omri MENDELLEVICH