Patents by Inventor K. Harris
K. Harris 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: 10965747Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial selection value for distribution over each different online channel. An observed user actions required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed user actions received through the feedback loop, a predicted user action rate is determined for the multiple different distributions across the multiple different online channels. The selection value is adjusted based on a difference between the predicted user action rate and a reference distribution amount specified by a provider of the content. The content is distributed over the multiple different online channels using the adjusted selection value.Type: GrantFiled: February 21, 2020Date of Patent: March 30, 2021Assignee: Google LLCInventors: Chenyu Zhao, Di Wang, Samuel Sze Ming Ieong, Christopher K. Harris
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Publication number: 20210092186Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial selection value for distribution over each different online channel. An observed user actions required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed user actions received through the feedback loop, a predicted user action rate is determined for the multiple different distributions across the multiple different online channels. The selection value is adjusted based on a difference between the predicted user action rate and a reference distribution amount specified by a provider of the content. The content is distributed over the multiple different online channels using the adjusted selection value.Type: ApplicationFiled: December 8, 2020Publication date: March 25, 2021Inventors: Chenyu Zhao, Di Wang, Samuel Sze Ming Ieong, Christopher K. Harris
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Publication number: 20210089289Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. Data specifying a post-install activity is received from a provider of an application. An opportunity is identified to provide third-party content to a user. A likelihood is determined that the user will perform the specified post-install activity based on one or more attributes of the user and attributes of users that have previously performed the specified post-install activity in the application. A selection value is adjusted for third-party content that identifies the application based on the determined likelihood, wherein the selection value increases as the likelihood increases. The third-party content identifying the application is selected based on the adjusted selection value. The third-party content identifying the application is distributed to a client device of the user.Type: ApplicationFiled: December 8, 2020Publication date: March 25, 2021Inventors: Shibani Sanan, Christopher K. Harris, Nicola Tettke, Sissie Ling-le Hsiao, Samuel Sze Ming Ieong, Vinod Kumar Ramachandran, Anthony Chavez
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Publication number: 20200369730Abstract: Fusion proteins comprising one or more portions of hepatitis virus core antigen (HBcAg) fused to immunogenic portions of influenza virus hemagglutinin (HA) protein, and nanoparticles (virus-like particles) formed from such proteins, nucleic acid molecules encoding such proteins, methods of making such nanoparticles, methods of using the disclosed nanoparticles to vaccinate an individual against influenza virus, and antibodies elicited by vaccination of a mammal with the disclosed nanoparticles.Type: ApplicationFiled: August 2, 2018Publication date: November 26, 2020Inventors: Audray K. HARRIS, Dustin M. MCCRAW
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Patent number: 10793222Abstract: A rear derailleur is provided for a bicycle. The rear derailleur has an upper alignment assembly and a lower alignment assembly pivotally connected via a linkage assembly. The upper alignment assembly is pivotally attached to the bicycle along a b-knuckle mounting axis, and the upper alignment assembly includes a motor assembly to pivot the upper alignment assembly along an upper rotatable axis that is generally perpendicular to the b-knuckle mounting axis. The lower alignment assembly is pivotally attached to a pulley assembly along a p-knuckle mounting axis, and the lower alignment assembly includes a motor assembly to pivot the lower alignment assembly along a lower rotatable axis that is generally perpendicular to the p-knuckle mounting axis.Type: GrantFiled: March 21, 2017Date of Patent: October 6, 2020Inventor: Jonathan K. Harris
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Publication number: 20200304545Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for off-policy evaluation of a control policy. One of the methods includes obtaining policy data specifying a control policy for controlling a source agent interacting with a source environment to perform a particular task; obtaining a validation data set generated from interactions of a target agent in a target environment; determining a performance estimate that represents an estimate of a performance of the control policy in controlling the target agent to perform the particular task in the target environment; and determining, based on the performance estimate, whether to deploy the control policy for controlling the target agent to perform the particular task in the target environment.Type: ApplicationFiled: March 23, 2020Publication date: September 24, 2020Inventors: Kanury Kanishka Rao, Konstantinos Bousmalis, Christopher K. Harris, Alexander Irpan, Sergey Vladimir Levine, Julian Ibarz
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Patent number: 10747825Abstract: Methods, systems, apparatus, including computer programs encoded on a computer storage medium, for determining whether to execute a query based on a predicted computerized rendering period The method may include actions of receiving a query, determining a set of one or more features based on the query, generating a query vector, providing the query vector to a machine learning model, receiving first data, based on the output of the machine learning model, that is indicative of whether the computerized rendering period associated with the query is likely to satisfy the predetermined threshold, determining based on the first data that the computerized rendering period available for displaying a set of one or more candidate content items that are responsive to the query is not likely to satisfy the predetermined threshold, and determining to not use a search engine to execute the received query.Type: GrantFiled: February 27, 2017Date of Patent: August 18, 2020Assignee: Google LLCInventors: Bin Liu, Aranyak Mehta, Xi Tan, Christopher K. Harris, Samuel Sze Ming Ieong, Gabriel Florin Constantin
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Publication number: 20200195715Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial selection value for distribution over each different online channel. An observed user actions required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed user actions received through the feedback loop, a predicted user action rate is determined for the multiple different distributions across the multiple different online channels. The selection value is adjusted based on a difference between the predicted user action rate and a reference distribution amount specified by a provider of the content. The content is distributed over the multiple different online channels using the adjusted selection value.Type: ApplicationFiled: February 21, 2020Publication date: June 18, 2020Inventors: Chenyu Zhao, Di Wang, Samuel Sze Ming Ieong, Christopher K. Harris
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Publication number: 20200117436Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. Data specifying a post-install activity is received from a provider of an application. An opportunity is identified to provide third-party content to a user. A likelihood is determined that the user will perform the specified post-install activity based on one or more attributes of the user and attributes of users that have previously performed the specified post-install activity in the application. A selection value is adjusted for third-party content that identifies the application based on the determined likelihood, wherein the selection value increases as the likelihood increases. The third-party content identifying the application is selected based on the adjusted selection value. The third-party content identifying the application is distributed to a client device of the user.Type: ApplicationFiled: December 9, 2019Publication date: April 16, 2020Inventors: Shibani Sanan, Christopher K. Harris, Nicola Rettke, Sissie Ling-le Hsiao, Samuel Sze Ming Ieong, Vinod Kumar Ramachandran, Anthony Chavez
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Patent number: 10609142Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial selection value for distribution over each different online channel. An observed user actions required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed user actions received through the feedback loop, a predicted user action rate is determined for the multiple different distributions across the multiple different online channels. The selection value is adjusted based on a difference between the predicted user action rate and a reference distribution amount specified by a provider of the content. The content is distributed over the multiple different online channels using the adjusted selection value.Type: GrantFiled: February 21, 2019Date of Patent: March 31, 2020Assignee: Google LLCInventors: Chenyu Zhao, Di Wang, Samuel Sze Ming Ieong, Christopher K. Harris
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Patent number: 10540158Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. Data specifying a post-install activity is received from a provider of an application. An opportunity is identified to provide third-party content to a user. A likelihood is determined that the user will perform the specified post-install activity based on one or more attributes of the user and attributes of users that have previously performed the specified post-install activity in the application. A selection value is adjusted for third-party content that identifies the application based on the determined likelihood, wherein the selection value increases as the likelihood increases. The third-party content identifying the application is selected based on the adjusted selection value. The third-party content identifying the application is distributed to a client device of the user.Type: GrantFiled: July 6, 2017Date of Patent: January 21, 2020Assignee: Google LLCInventors: Shibani Sanan, Christopher K. Harris, Nicola Rettke, Sissie Ling-le Hsiao, Samuel Sze Ming Ieong, Vinod Kumar Ramachandran, Anthony Chavez
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Publication number: 20190182320Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial selection value for distribution over each different online channel. An observed user actions required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed user actions received through the feedback loop, a predicted user action rate is determined for the multiple different distributions across the multiple different online channels. The selection value is adjusted based on a difference between the predicted user action rate and a reference distribution amount specified by a provider of the content. The content is distributed over the multiple different online channels using the adjusted selection value.Type: ApplicationFiled: February 21, 2019Publication date: June 13, 2019Inventors: Chenyu Zhao, Di Wang, Samuel Sze Ming Ieong, Christopher K. Harris
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Publication number: 20190138566Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing digital components. In one aspect, the system includes a digital component server that identifies a digital component to be presented in an electronic document. The system also includes a digital component distribution server that interacts with the digital component server to determine that the electronic document includes a particular item that identifies a same entity as the digital component that was identified to be presented in the electronic document. The system combines at least a portion of the digital component with content from the particular item to form an optimized digital component. The optimized digital component is integrated into the electronic document rather than presenting either of the particular item or the digital component individually.Type: ApplicationFiled: January 4, 2019Publication date: May 9, 2019Inventors: Shibani Sanan, Vinod Kumar Ramachandran, Christopher K. Harris, Sissie Ling-le Hsiao
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Patent number: 10250681Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial maximum selection value for distribution over each different online channel. An observed distribution amount required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed distribution amount received through the feedback loop, a realized distribution amount is determined for the multiple different distributions across the multiple different online channels. The maximum selection value is adjusted based on a difference between the realized distribution amount and a reference distribution amount specified by a provider of the content.Type: GrantFiled: June 22, 2018Date of Patent: April 2, 2019Assignee: Google LLCInventors: Chenyu Zhao, Di Wang, Samuel Sze Ming Ieong, Christopher K. Harris
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Patent number: 10210278Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing digital components. In one aspect, the system includes a digital component server that identifies a digital component to be presented in an electronic document. The system also includes a digital component distribution server that interacts with the digital component server to determine that the electronic document includes a particular item that identifies a same entity as the digital component that was identified to be presented in the electronic document. The system combines at least a portion of the digital component with content from the particular item to form an optimized digital component. The optimized digital component is integrated into the electronic document rather than presenting either of the particular item or the digital component individually.Type: GrantFiled: August 29, 2016Date of Patent: February 19, 2019Assignee: Google LLCInventors: Shibani Sanan, Vinod Kumar Ramachandran, Christopher K. Harris, Sissie Ling-Ie Hsiao
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Patent number: 10173040Abstract: In general, the invention is directed to a technique for percutaneously introducing a stimulation lead into a target stimulation site via the epidural region proximate the spine of a patient. The process of introducing the stimulation lead may include the use of a hollow stimulation lead introducer, which comprises an elongated sheath and an elongated dilator. The dilator fits within the sheath and serves to widen a path through the epidural region for the introduction of a stimulation lead. At least a portion of the stimulation lead introducer has an oblong cross-section, allowing passage of stimulation leads such as paddle leads. The stimulation lead introducer may enter the epidural region proximate a spine of a patient via a guidewire. The stimulation lead introducer provides a path through the epidural region of a patient to a target stimulation site. A stimulation lead may travel through the path to reach the target stimulation site where it may provide therapy to the patient.Type: GrantFiled: June 26, 2017Date of Patent: January 8, 2019Assignee: Medtronic, Inc.Inventors: Charmaine K. Harris, Joseph J. Klein
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Publication number: 20180302472Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial maximum selection value for distribution over each different online channel. An observed distribution amount required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed distribution amount received through the feedback loop, a realized distribution amount is determined for the multiple different distributions across the multiple different online channels. The maximum selection value is adjusted based on a difference between the realized distribution amount and a reference distribution amount specified by a provider of the content.Type: ApplicationFiled: June 22, 2018Publication date: October 18, 2018Inventors: Chenyu Zhao, Di Wang, Samuel Sze Ming Ieong, Christopher K. Harris
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Publication number: 20180246966Abstract: Methods, systems, apparatus, including computer programs encoded on a computer storage medium, for determining whether to execute a query based on a predicted computerized rendering period The method may include actions of receiving a query, determining a set of one or more features based on the query, generating a query vector, providing the query vector to a machine learning model, receiving first data, based on the output of the machine learning model, that is indicative of whether the computerized rendering period associated with the query is likely to satisfy the predetermined threshold, determining based on the first data that the computerized rendering period available for displaying a set of one or more candidate content items that are responsive to the query is not likely to satisfy the predetermined threshold, and determining to not use a search engine to execute the received query.Type: ApplicationFiled: February 27, 2017Publication date: August 30, 2018Inventors: Bin Liu, Aranyak Mehta, Xi Tan, Christopher K. Harris, Samuel Sze Ming Ieong, Gabriel Florin Constantin
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Patent number: 10057345Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial maximum selection value for distribution over each different online channel. An observed distribution amount required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed distribution amount received through the feedback loop, a realized distribution amount is determined for the multiple different distributions across the multiple different online channels. The maximum selection value is adjusted based on a difference between the realized distribution amount and a reference distribution amount specified by a provider of the content.Type: GrantFiled: October 11, 2016Date of Patent: August 21, 2018Assignee: Google LLCInventors: Chenyu Zhao, Di Wang, Samuel Sze Ming Ieong, Christopher K. Harris
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Publication number: 20180103093Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial maximum selection value for distribution over each different online channel. An observed distribution amount required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed distribution amount received through the feedback loop, a realized distribution amount is determined for the multiple different distributions across the multiple different online channels. The maximum selection value is adjusted based on a difference between the realized distribution amount and a reference distribution amount specified by a provider of the content.Type: ApplicationFiled: October 11, 2016Publication date: April 12, 2018Inventors: Chenyu Zhao, Di Wang, Samuel Sze Ming Ieong, Christopher K. Harris