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).
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Publication number: 20220138809Abstract: 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: ApplicationFiled: January 14, 2022Publication date: May 5, 2022Applicant: Google LLCInventors: Yifang Liu, Konstantinos Katsiapis, Christopher Kenneth Harris
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Patent number: 11250479Abstract: 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: GrantFiled: July 14, 2020Date of Patent: February 15, 2022Assignee: Google LLCInventors: Yifang Liu, Konstantinos Katsiapis, Christopher Kenneth Harris
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Publication number: 20200342502Abstract: 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: ApplicationFiled: July 14, 2020Publication date: October 29, 2020Inventors: Yifang Liu, Konstantinos Katsiapis, Christopher Kenneth Harris
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Patent number: 10726453Abstract: 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: GrantFiled: September 14, 2017Date of Patent: July 28, 2020Assignee: GOOGLE LLCInventors: Yifang Liu, Konstantinos Katsiapis, Christopher Kenneth Harris
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Patent number: 9767489Abstract: 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: GrantFiled: September 19, 2013Date of Patent: September 19, 2017Assignee: Google Inc.Inventors: Yifang Liu, Konstantinos Katsiapis, Christopher Kenneth Harris
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Patent number: 9697474Abstract: 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: GrantFiled: December 4, 2013Date of Patent: July 4, 2017Assignee: Google Inc.Inventors: Yifang Liu, Konstantinos Katsiapis, Samuel Ieong, Roberto Bayardo
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Publication number: 20150154507Abstract: 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: ApplicationFiled: December 4, 2013Publication date: June 4, 2015Applicant: Google Inc.Inventors: Yifang Liu, Konstantinos Katsiapis, Samuel Ieong, Roberto Bayardo