Patents by Inventor Konstantinos Katsiapis

Konstantinos Katsiapis 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: 20220138809
    Abstract: When a content item is initially served to a client device, the content item may result in an impression effect. As time elapses, the initial impression may fade. Such a decay of the impression effect may be predicted through the use of a predictive model. In some implementations, one or more impression effect parameters may be accessed and used with the predictive model to determine a decay factor or predicted value that incorporates the impression effect decay for a content item. A value, such as a score, may be determined based on the decay factor or the predicted value and a bid associated with a content item. A content item may be selected based on the determined value and data to effect presentation of the content item may be provided.
    Type: Application
    Filed: January 14, 2022
    Publication date: May 5, 2022
    Applicant: Google LLC
    Inventors: Yifang Liu, Konstantinos Katsiapis, Christopher Kenneth Harris
  • Patent number: 11250479
    Abstract: When a content item is initially served to a client device, the content item may result in an impression effect. As time elapses, the initial impression may fade. Such a decay of the impression effect may be predicted through the use of a predictive model. In some implementations, one or more impression effect parameters may be accessed and used with the predictive model to determine a decay factor or predicted value that incorporates the impression effect decay for a content item. A value, such as a score, may be determined based on the decay factor or the predicted value and a bid associated with a content item. A content item may be selected based on the determined value and data to effect presentation of the content item may be provided.
    Type: Grant
    Filed: July 14, 2020
    Date of Patent: February 15, 2022
    Assignee: Google LLC
    Inventors: Yifang Liu, Konstantinos Katsiapis, Christopher Kenneth Harris
  • Publication number: 20200342502
    Abstract: When a content item is initially served to a client device, the content item may result in an impression effect. As time elapses, the initial impression may fade. Such a decay of the impression effect may be predicted through the use of a predictive model. In some implementations, one or more impression effect parameters may be accessed and used with the predictive model to determine a decay factor or predicted value that incorporates the impression effect decay for a content item. A value, such as a score, may be determined based on the decay factor or the predicted value and a bid associated with a content item. A content item may be selected based on the determined value and data to effect presentation of the content item may be provided.
    Type: Application
    Filed: July 14, 2020
    Publication date: October 29, 2020
    Inventors: Yifang Liu, Konstantinos Katsiapis, Christopher Kenneth Harris
  • Patent number: 10726453
    Abstract: When a content item is initially served to a client device, the content item may result in an impression effect. As time elapses, the initial impression may fade. Such a decay of the impression effect may be predicted through the use of a predictive model. In some implementations, one or more impression effect parameters may be accessed and used with the predictive model to determine a decay factor or predicted value that incorporates the impression effect decay for a content item. A value, such as a score, may be determined based on the decay factor or the predicted value and a bid associated with a content item. A content item may be selected based on the determined value and data to effect presentation of the content item may be provided.
    Type: Grant
    Filed: September 14, 2017
    Date of Patent: July 28, 2020
    Assignee: GOOGLE LLC
    Inventors: Yifang Liu, Konstantinos Katsiapis, Christopher Kenneth Harris
  • Patent number: 9767489
    Abstract: When a content item is initially served to a client device, the content item may result in an impression effect. As time elapses, the initial impression may fade. Such a decay of the impression effect may be predicted through the use of a predictive model. In some implementations, one or more impression effect parameters may be accessed and used with the predictive model to determine a decay factor or predicted value that incorporates the impression effect decay for a content item. A value, such as a score, may be determined based on the decay factor or the predicted value and a bid associated with a content item. A content item may be selected based on the determined value and data to effect presentation of the content item may be provided.
    Type: Grant
    Filed: September 19, 2013
    Date of Patent: September 19, 2017
    Assignee: Google Inc.
    Inventors: Yifang Liu, Konstantinos Katsiapis, Christopher Kenneth Harris
  • Patent number: 9697474
    Abstract: Multi-class classification by training a machine learning system based on training inputs each of which includes features and at least one class label. Each training input is assigned a membership value that can indicate if an entity having the features of the training input is a member of the class corresponding to the class label that is also included in the training input. To determine if an entity having test features is a member of several test classes, test inputs can be constructed where each input includes the test features and a class label corresponding to one of the test classes. The test inputs are processed by the trained machine learning system, which produces as outputs test membership values that represent the likelihood that the entity having the features in the test input belong to the test class corresponding to the test class label also included in the test input.
    Type: Grant
    Filed: December 4, 2013
    Date of Patent: July 4, 2017
    Assignee: Google Inc.
    Inventors: Yifang Liu, Konstantinos Katsiapis, Samuel Ieong, Roberto Bayardo
  • Publication number: 20150154507
    Abstract: Multi-class classification by training a machine learning system based on training inputs each of which includes features and at least one class label. Each training input is assigned a membership value that can indicate if an entity having the features of the training input is a member of the class corresponding to the class label that is also included in the training input. To determine if an entity having test features is a member of several test classes, test inputs can be constructed where each input includes the test features and a class label corresponding to one of the test classes. The test inputs are processed by the trained machine learning system, which produces as outputs test membership values that represent the likelihood that the entity having the features in the test input belong to the test class corresponding to the test class label also included in the test input.
    Type: Application
    Filed: December 4, 2013
    Publication date: June 4, 2015
    Applicant: Google Inc.
    Inventors: Yifang Liu, Konstantinos Katsiapis, Samuel Ieong, Roberto Bayardo