Patents by Inventor Samuel Sze Ming Ieong
Samuel Sze Ming Ieong 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: 11711424Abstract: 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: May 26, 2022Date of Patent: July 25, 2023Assignee: Google LLCInventors: Chenyu Zhao, Di Wang, Samuel Sze Ming Ieong, Christopher K. Harris
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Publication number: 20220286505Abstract: 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: May 26, 2022Publication date: September 8, 2022Inventors: Chenyu Zhao, Di Wang, Samuel Sze Ming Ieong, Christopher K. Harris
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Patent number: 11405454Abstract: 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: December 8, 2020Date of Patent: August 2, 2022Assignee: Google LLCInventors: Chenyu Zhao, Di Wang, Samuel Sze Ming Ieong, Christopher K. Harris
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Patent number: 11249741Abstract: 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: December 8, 2020Date of Patent: February 15, 2022Assignee: Google LLCInventors: Shibani Sanan, Christopher K. Harris, Nicola Rettke, Sissie Ling-Ie Hsiao, Samuel Sze Ming Ieong, Vinod Kumar Ramachandran, Anthony Chavez
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Patent number: 11003432Abstract: 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: December 9, 2019Date of Patent: May 11, 2021Assignee: 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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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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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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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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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
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Publication number: 20180018155Abstract: 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: July 6, 2017Publication date: January 18, 2018Applicant: Google Inc.Inventors: Shibani Sanan, Christopher K. Harris, Nicola Rettke, Sissie Ling-Ie Hsiao, Samuel Sze Ming Ieong, Vinod Kumar Ramachandran, Anthony Chavez