Patents by Inventor Arthur Weinberger
Arthur Weinberger 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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Patent number: 11995217Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that protect analytics for resources of a publisher from traffic directed to such resources by malicious entities. An analytics server receives a first message that includes an encrypted token and analytics data for a publisher-provided resource. The token includes a portion of the analytics data and a trust score indicating a likelihood that activity on the resource is attributed to a human (rather than an automated process). The analytics server decrypts the token. The analytics server determines a trustworthiness measure for the analytics data included in the first message based on the trust score (in the decrypted token) and a comparison of the analytics data in the first message and the portion of the analytics data (in the decrypted token). Based on the measure of trustworthiness, the analytics server performs analytics operations using the analytics data.Type: GrantFiled: June 7, 2023Date of Patent: May 28, 2024Assignee: Google LLCInventors: Arthur Weinberger, Aaron Malenfant, Jason Fedor, Jackson Roberts, Madhu Kallazhi Vasu, Bradley D. Townsend, Breen Baker, John Charles Simone, Ronak Parpani, Sean Michael Harrison
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Publication number: 20230351052Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that protect analytics for resources of a publisher from traffic directed to such resources by malicious entities. An analytics server receives a first message that includes an encrypted token and analytics data for a publisher-provided resource. The token includes a portion of the analytics data and a trust score indicating a likelihood that activity on the resource is attributed to a human (rather than an automated process). The analytics server decrypts the token. The analytics server determines a trustworthiness measure for the analytics data included in the first message based on the trust score (in the decrypted token) and a comparison of the analytics data in the first message and the portion of the analytics data (in the decrypted token). Based on the measure of trustworthiness, the analytics server performs analytics operations using the analytics data.Type: ApplicationFiled: June 7, 2023Publication date: November 2, 2023Inventors: Arthur Weinberger, Aaron Malenfant, Jason Fedor, Jackson Roberts, Madhu Kallazhi Vasu, Bradley D. Townsend, Breen Baker, John Charles Simone, Ronak Parpani, Sean Michael Harrison
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Patent number: 11709968Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that protect analytics for resources of a publisher from traffic directed to such resources by malicious entities. An analytics server receives a first message that includes an encrypted token and analytics data for a publisher-provided resource. The token includes a portion of the analytics data and a trust score indicating a likelihood that activity on the resource is attributed to a human (rather than an automated process). The analytics server decrypts the token. The analytics server determines a trustworthiness measure for the analytics data included in the first message based on the trust score (in the decrypted token) and a comparison of the analytics data in the first message and the portion of the analytics data (in the decrypted token). Based on the measure of trustworthiness, the analytics server performs analytics operations using the analytics data.Type: GrantFiled: October 6, 2021Date of Patent: July 25, 2023Assignee: Google LLCInventors: Arthur Weinberger, Aaron Malenfant, Jason Fedor, Jackson Roberts, Madhu Kallazhi Vasu, Bradley D. Townsend, Breen Baker, John Charles Simone, Ronak Parpani, Sean Michael Harrison
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Publication number: 20220027517Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that protect analytics for resources of a publisher from traffic directed to such resources by malicious entities. An analytics server receives a first message that includes an encrypted token and analytics data for a publisher-provided resource. The token includes a portion of the analytics data and a trust score indicating a likelihood that activity on the resource is attributed to a human (rather than an automated process). The analytics server decrypts the token. The analytics server determines a trustworthiness measure for the analytics data included in the first message based on the trust score (in the decrypted token) and a comparison of the analytics data in the first message and the portion of the analytics data (in the decrypted token). Based on the measure of trustworthiness, the analytics server performs analytics operations using the analytics data.Type: ApplicationFiled: October 6, 2021Publication date: January 27, 2022Inventors: Arthur Weinberger, Aaron Malenfant, Jason Fedor, Jackson Roberts, Madhu Kallazhi Vasu, Bradley D. Townsend, Breen Baker, John Charles Simone, Ronak Parpani, Sean Michael Harrison
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Patent number: 11170132Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that protect analytics for resources of a publisher from traffic directed to such resources by malicious entities. An analytics server receives a first message that includes an encrypted token and analytics data for a publisher-provided resource. The token includes a portion of the analytics data and a trust score indicating a likelihood that activity on the resource is attributed to a human (rather than an automated process). The analytics server decrypts the token. The analytics server determines a trustworthiness measure for the analytics data included in the first message based on the trust score (in the decrypted token) and a comparison of the analytics data in the first message and the portion of the analytics data (in the decrypted token). Based on the measure of trustworthiness, the analytics server performs analytics operations using the analytics data.Type: GrantFiled: May 30, 2019Date of Patent: November 9, 2021Assignee: Google LLCInventors: Arthur Weinberger, Aaron Malenfant, Jason Fedor, Jackson Roberts, Madhu Kallazhi Vasu, Bradley D. Townsend, Breen Baker, John Charles Simone, Ronak Parpani, Sean Michael Harrison
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Publication number: 20200380172Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that protect analytics for resources of a publisher from traffic directed to such resources by malicious entities. An analytics server receives a first message that includes an encrypted token and analytics data for a publisher-provided resource. The token includes a portion of the analytics data and a trust score indicating a likelihood that activity on the resource is attributed to a human (rather than an automated process). The analytics server decrypts the token. The analytics server determines a trustworthiness measure for the analytics data included in the first message based on the trust score (in the decrypted token) and a comparison of the analytics data in the first message and the portion of the analytics data (in the decrypted token). Based on the measure of trustworthiness, the analytics server performs analytics operations using the analytics data.Type: ApplicationFiled: May 30, 2019Publication date: December 3, 2020Inventors: Ronak Parpani, John Charles Simone, Breen Baker, Aaron Malenfant, Arthur Weinberger, Jason Fedor, Madhu Kallazhi Vasu, Sean Michael Harrison, Jackson Roberts
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Publication number: 20200051096Abstract: A server device obtains sets of input data including input CUME values associated with radio stations from different ratings-data-vendor devices. The input CUME values from a first ratings-data-vendor device are associated with a first limited set of input dayparts, and the input CUME values from a second ratings-data-vendor device are associated with a second limited set of input dayparts. The server obtains a list of media stations and schedule information associated with the media stations, the scheduling information including arbitrary client-specified dayparts. The input CUME values are consolidated, and translated consolidated data is generated by translating the input CUME values for the individual radio stations from the first and second limited set of input dayparts to determine an output CUME value associated with the arbitrary client-specified dayparts different from the input dayparts.Type: ApplicationFiled: October 16, 2019Publication date: February 13, 2020Applicant: iHeartMedia Management Services, Inc.Inventors: Arthur Weinberger, Marwan Shaban
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Patent number: 8799095Abstract: A method is provided for enterprise management and bundling of inventory to maximize revenue on perishable products. An electronic data-mart collects factors for the probability and price sensitivity of a buyer. The data-mart also collects rules for inventory scaling, available inventory to sell, budget (goal) information, advertiser payment history, and station performance data to feed to a scenario planner. Once three or more variables exist, algorithms create scenario plans to present the most profitable bundle of offerings. The scenarios are typically pre-approved although presented to local business units for an abnormality failsafe. Once processed by local business units, the scenarios are presented to the buyer. Negotiations typically cause the process to restart.Type: GrantFiled: April 28, 2011Date of Patent: August 5, 2014Assignee: Clear Channel Management Services, Inc.Inventors: Allan Ginsburg, David R. Murray, Arthur Weinberger, Jerome Williams
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Publication number: 20140095255Abstract: A radio station market analysis program extends Cume values for individual stations to multiple stations (for a particular geographic market, a particular demographic, and a particular daypart) according to the formula C=[1??i=1,n(1?Ci/P)]*P, where n is the number of media stations, P is the population, and Ci is each Cume value. Cume values may be provided for a limited set of input dayparts from Arbitron and Nielson, and are translated to an arbitrary daypart. The arbitrary daypart can represent a sum of component dayparts in a proposed advertising schedule. The reach of the proposed advertising schedule can be further computed based on a hyperbolic function of spot count.Type: ApplicationFiled: December 9, 2013Publication date: April 3, 2014Applicant: Clear Channel Management Services, Inc.Inventors: Arthur Weinberger, Marwan Shaban
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Publication number: 20140049462Abstract: A computerized method, system for, and computer-readable medium operable to: determine a set of coordinates corresponding to a user's gaze; determine a user interface (UI) element corresponding to the set of coordinates; return that UI element as being detected and again repeating the determination of the set of coordinates corresponding to the user's gaze; determine if the UI element being returned is the same for a predetermined threshold of time according to a started timer; if the UI element is not the same, reset the started timer and again repeating the determination of the set of coordinates corresponding to the user's gaze; and if the UI element is the same, making the UI element active without requiring any additional action from the user and currently selecting the UI element to receive input.Type: ApplicationFiled: August 20, 2012Publication date: February 20, 2014Inventors: Arthur Weinberger, Sergio Marti, Yegor Gennadiev Jbanov, Liya Su, Mohammadinamul Hasan Sheik, Anusha Iyer
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Patent number: 8606617Abstract: A radio station market analysis program extends Cume values for individual stations to multiple stations (for a particular geographic market, a particular demographic, and a particular daypart) according to the formula C=[1??i=1,n(1?(Ci/P))]*P, where n is the number of media stations, P is the population, and Ci is each Cume value. Cume values may be provided for a limited set of input dayparts from Arbitron and Nielson, and are translated to an arbitrary daypart. The arbitrary daypart can represent a sum of component dayparts in a proposed advertising schedule. The reach of the proposed advertising schedule can be further computed based on a hyperbolic function of spot count.Type: GrantFiled: January 14, 2010Date of Patent: December 10, 2013Assignee: Clear Channel Management Services, Inc.Inventors: Arthur Weinberger, Marwan Shaban
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Publication number: 20110202410Abstract: A method is provided for enterprise management and bundling of inventory to maximize revenue on perishable products. An electronic data-mart collects factors for the probability and price sensitivity of a buyer. The data-mart also collects rules for inventory scaling, available inventory to sell, budget (goal) information, advertiser payment history, and station performance data to feed to a scenario planner. Once three or more variables exist, algorithms create scenario plans to present the most profitable bundle of offerings. The scenarios are typically pre-approved although presented to local business units for an abnormality failsafe. Once processed by local business units, the scenarios are presented to the buyer. Negotiations typically cause the process to restart.Type: ApplicationFiled: April 28, 2011Publication date: August 18, 2011Applicant: CLEAR CHANNEL MANAGEMENT SERVICES, INC.Inventors: Allan Ginsburg, David R. Murray, Arthur Weinberger, Jerome Williams
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Publication number: 20110202389Abstract: A method is provided for enterprise management and bundling of inventory to maximize revenue on perishable products. An electronic data-mart collects factors for the probability and price sensitivity of a buyer. The data-mart also collects rules for inventory scaling, available inventory to sell, budget (goal) information, advertiser payment history, and station performance data to feed to a scenario planner. Once three or more variables exist, algorithms create scenario plans to present the most profitable bundle of offerings. The scenarios are typically pre-approved although presented to local business units for an abnormality failsafe. Once processed by local business units, the scenarios are presented to the buyer. Negotiations typically cause the process to restart.Type: ApplicationFiled: April 28, 2011Publication date: August 18, 2011Applicant: CLEAR CHANNEL MANAGEMENT SERVICES, INC.Inventors: Allan Ginsburg, David R. Murray, Arthur Weinberger, Jerome Williams
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Publication number: 20110173048Abstract: A radio station market analysis program extends Cume values for individual stations to multiple stations (for a particular geographic market, a particular demographic, and a particular daypart) according to the formula C=[1??i=1,n(1?(Ci/P))]*P, where n is the number of media stations, P is the population, and Ci is each Cume value. Cume values may be provided for a limited set of input dayparts from Arbitron and Nielson, and are translated to an arbitrary daypart. The arbitrary daypart can represent a sum of component dayparts in a proposed advertising schedule. The reach of the proposed advertising schedule can be further computed based on a hyperbolic function of spot count.Type: ApplicationFiled: January 14, 2010Publication date: July 14, 2011Inventors: Arthur Weinberger, Marwan Shaban
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Patent number: 7941350Abstract: A method is provided for enterprise management and bundling of radio, outdoor and entertainment inventory to achieve maximum revenue on perishable products. An electronic data-mart 110 or central information storage and data processing system is established to collect influencing factors for the probability and price sensitivity of a particular advertising buyer 120. The data-mart 110 also collects business rules for inventory scaling, available inventory to sell, budget (goal) information, advertiser payment history, and station performance data to feed to a scenario planner 130. Once three or more variables exist, inventory and pricing fuzzy logic algorithms create scenario plans to present the most profitable bundle of offerings. The scenarios are typically pre-approved although presented to the local business units 150 for an abnormality failsafe. Once processed by the local business units 150, the scenarios are presented to the advertising buyer 120.Type: GrantFiled: April 23, 2008Date of Patent: May 10, 2011Assignee: Clear Channel Management Services, Inc.Inventors: Allan Ginsburg, David R. Murray, Arthur Weinberger, Jerome Williams
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Publication number: 20080281662Abstract: A method is provided for enterprise management and bundling of radio, outdoor and entertainment inventory to achieve maximum revenue on perishable products. An electronic data-mart 110 or central information storage and data processing system is established to collect influencing factors for the probability and price sensitivity of a particular advertising buyer 120. The data-mart 110 also collects business rules for inventory scaling, available inventory to sell, budget (goal) information, advertiser payment history, and station performance data to feed to a scenario planner 130. Once three or more variables exist, inventory and pricing fuzzy logic algorithms create scenario plans to present the most profitable bundle of offerings. The scenarios are typically pre-approved although presented to the local business units 150 for an abnormality failsafe. Once processed by the local business units 150, the scenarios are presented to the advertising buyer 120.Type: ApplicationFiled: April 23, 2008Publication date: November 13, 2008Inventors: Allan Ginsburg, David R. Murray, Arthur Weinberger, Jerome Williams
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Patent number: 7386492Abstract: A method is provided for enterprise management and bundling of radio, outdoor and entertainment inventory to achieve maximum revenue on perishable products. An electronic data-mart 110 or central information storage and data processing system is established to collect influencing factors for the probability and price sensitivity of a particular advertising buyer 120. The data-mart 110 also collects business rules for inventory scaling, available inventory to sell, budget (goal) information, advertiser payment history, and station performance data to feed to a scenario planner 130. Once three or more variables exist, inventory and pricing fuzzy logic algorithms create scenario plans to present the most profitable bundle of offerings. The scenarios are typically pre-approved although presented to the local business units 150 for an abnormality failsafe. Once processed by the local business units 150, the scenarios are presented to the advertising buyer 120.Type: GrantFiled: January 15, 2002Date of Patent: June 10, 2008Assignee: Clear Channel Communications, Inc.Inventors: Allan Ginsburg, David R. Murray, Arthur Weinberger, Jerome Williams
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Publication number: 20030154142Abstract: A method is provided for enterprise management and bundling of radio, outdoor and entertainment inventory to achieve maximum revenue on perishable products. An electronic data-mart 110 or central information storage and data processing system is established to collect influencing factors for the probability and price sensitivity of a particular advertising buyer 120. The data-mart 110 also collects business rules for inventory scaling, available inventory to sell, budget (goal) information, advertiser payment history, and station performance data to feed to a scenario planner 130. Once three or more variables exist, inventory and pricing fuzzy logic algorithms create scenario plans to present the most profitable bundle of offerings. The scenarios are typically pre-approved although presented to the local business units 150 for an abnormality failsafe. Once processed by the local business units 150, the scenarios are presented to the advertising buyer 120.Type: ApplicationFiled: January 15, 2002Publication date: August 14, 2003Applicant: Clear Channel Communications, Inc.Inventors: Allan Ginsburg, David R. Murray, Arthur Weinberger, Jerome Williams