Patents by Inventor Vishal Kapoor
Vishal Kapoor 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: 20230385926Abstract: A method for facilitating presentation of financial offers from multiple sources on a single platform may include receiving an indication of a request from a customer for a financing offer, receiving qualification information associated with the request for provision to a plurality of underwriting models where the underwriting models are associated with respective different underwriters, running each of the underwriting models to determine a listing of approving underwriters, applying curation logic to the listing of approving underwriters, selecting, based on the curation logic, one or more of the approving underwriters to receive a generated offer, and directing display, at a communication device associated with the customer, of the generated offer for each of the one or more of the approving underwriters that is selected.Type: ApplicationFiled: May 31, 2022Publication date: November 30, 2023Inventors: Vishal Kapoor, Dipti Bele, John Seaman
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Publication number: 20230103904Abstract: A method for employing item-level financing offers in relation to extension of a loan to a user for an online cart including multiple items may include receiving information identifying a first item in the online cart and receiving information identifying a second item in the online cart. The method may further include performing a first credit extension decision with respect to the first item, performing a second credit extension decision with respect to the second item, and providing, based on the first and second credit extension decisions, a financing offer to the user with respect to financing a transaction including both the first and second items. The financing offer includes item-level information regarding details of the first and second credit extension decisions.Type: ApplicationFiled: September 27, 2022Publication date: April 6, 2023Inventors: Daniel E. Kaufman, Vishal Kapoor, Ajai Karthikeyan, Kelsey Ditto, Jesse Kendrick, Huyen Phan, Xiaojing Cui
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Patent number: 11070524Abstract: Generally, embodiments of the invention are directed to methods, computer readable medium, servers, and systems for deidentified access of data. The deidentified access is permitted with the use of an identifier that uniquely indicates an outcome, the coding of the identifier obscures unaided human interpretation of the outcome, and the identifier uniquely identifies data for remediating performance associated with future outcomes.Type: GrantFiled: November 26, 2019Date of Patent: July 20, 2021Assignee: PEARSON EDUCATION, INC.Inventors: Vishal Kapoor, Cole Joseph Cecil, David Earl Rodgers
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Patent number: 11003674Abstract: Systems and methods for automated aggregated content commenting are disclosed herein. Such a system can include a memory including a content database; an evaluation criteria database; and a comment database. The system can include at least one server. The at least one server can: receive a content identifier; receive a user identifier; provide a representation of the piece of content to the user; receive a comment from the user identifying a portion of the piece of content; generate a portion of the comment database linked to the user and the content; generate an entry in the portion of the comment database linked to the user and the content; and store the comment in the entry in the portion of the comment database.Type: GrantFiled: November 13, 2018Date of Patent: May 11, 2021Assignee: PEARSON EDUCATION, INC.Inventors: John P. Sadauskas, Erik R. Racho, Xindeling Pan, Lynn Chang, Anne Hong, Keith Jones, Miles T. Loring, Paul C. Grudnitski, Vishal Kapoor
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Patent number: 10977257Abstract: Systems and methods for automated aggregated content commenting are disclosed herein. Such a system can include a memory including a content database; an evaluation criteria database; and a comment database. The system can include at least one server. The at least one server can: receive a content identifier; receive a user identifier; provide a representation of the piece of content to the user; receive a comment from the user identifying a portion of the piece of content; generate a portion of the comment database linked to the user and the content; generate an entry in the portion of the comment database linked to the user and the content; and store the comment in the entry in the portion of the comment database.Type: GrantFiled: July 10, 2018Date of Patent: April 13, 2021Assignee: PEARSON EDUCATION, INC.Inventors: Miles T. Loring, Paul S. Grudnitski, Vishal Kapoor
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Patent number: 10977259Abstract: A file receiver receives an electronic structure file that includes structure-file data associated with a spatial arrangement and detects a content object for processing that includes content-object data. A file transformation engine transforms the structure-file data from the structure file into an electronic record. A rendering engine renders an image of the transformed structure-file data arranged in the spatial arrangement. An interface engine detects an input corresponding to specification of a position of a data segment. A parsing engine defines a segment-position specification indicative of the position. A template engine generates an electronic template that associates an identifier of the data segment with the segment-position specification and associates the electronic template with a template identifier. A record classifier determines that the content object corresponds to the template identifier.Type: GrantFiled: July 26, 2018Date of Patent: April 13, 2021Assignee: PEARSON EDUCATION, INC.Inventors: Vishal Kapoor, Miles Loring, Cole Cecil, Jesse Peterson, Umamakeswaran Veerasingam, Sanjay Zope
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Patent number: 10938738Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.Type: GrantFiled: December 23, 2019Date of Patent: March 2, 2021Assignee: PEARSON EDUCATION, INC.Inventors: Nicholas A. Dronen, Peter W. Foltz, Holly Garner, Miles T. Loring, Vishal Kapoor
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Publication number: 20200136990Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.Type: ApplicationFiled: December 23, 2019Publication date: April 30, 2020Inventors: Nicholas A. DRONEN, Peter W. FOLTZ, Holly GARNER, Miles T. LORING, Vishal KAPOOR
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Publication number: 20200099663Abstract: Generally, embodiments of the invention are directed to methods, computer readable medium, servers, and systems for deidentified access of data. The deidentified access is permitted with the use of an identifier that uniquely indicates an outcome, the coding of the identifier obscures unaided human interpretation of the outcome, and the identifier uniquely identifies data for remediating performance associated with future outcomes.Type: ApplicationFiled: November 26, 2019Publication date: March 26, 2020Inventors: Vishal KAPOOR, Cole Joseph CECIL, David Earl RODGERS
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Patent number: 10594622Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.Type: GrantFiled: December 7, 2018Date of Patent: March 17, 2020Assignee: PEARSON EDUCATION, INC.Inventors: Nicholas A. Dronen, Peter W. Foltz, Holly Garner, Miles T. Loring, Vishal Kapoor
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Patent number: 10560397Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.Type: GrantFiled: November 28, 2017Date of Patent: February 11, 2020Assignee: PEARSON EDUCATION, INC.Inventors: Nicholas A. Dronen, Peter W. Foltz, Holly Garner, Miles T. Loring, Vishal Kapoor
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Patent number: 10541978Abstract: Generally, embodiments of the invention are directed to methods, computer readable medium, servers, and systems for deidentified access of data. The deidentified access is permitted with the use of an identifier that uniquely indicates an outcome, the coding of the identifier obscures unaided human interpretation of the outcome, and the identifier uniquely identifies data for remediating performance associated with future outcomes.Type: GrantFiled: June 28, 2018Date of Patent: January 21, 2020Assignee: PEARSON EDUCATION, INC.Inventors: Vishal Kapoor, Cole Joseph Cecil, David Earl Rodgers
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Patent number: 10536433Abstract: Generally, embodiments of the invention are directed to methods, computer readable medium, servers, and systems for deidentified access of data. The deidentified access is permitted with the use of an identifier that uniquely indicates an outcome, the coding of the identifier obscures unaided human interpretation of the outcome, and the identifier uniquely identifies data for remediating performance associated with future outcomes.Type: GrantFiled: June 28, 2018Date of Patent: January 14, 2020Assignee: PEARSON EDUCATION, INC.Inventors: Vishal Kapoor, Cole Joseph Cecil, David Earl Rodgers
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Publication number: 20190222534Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.Type: ApplicationFiled: December 7, 2018Publication date: July 18, 2019Inventors: Nicholas A. Dronen, Peter W. Foltz, Holly Garner, Miles T. Loring, Vishal Kapoor
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Publication number: 20190146975Abstract: Systems and methods for automated aggregated content commenting are disclosed herein. Such a system can include a memory including a content database; an evaluation criteria database; and a comment database. The system can include at least one server. The at least one server can: receive a content identifier; receive a user identifier; provide a representation of the piece of content to the user; receive a comment from the user identifying a portion of the piece of content; generate a portion of the comment database linked to the user and the content; generate an entry in the portion of the comment database linked to the user and the content; and store the comment in the entry in the portion of the comment database.Type: ApplicationFiled: November 13, 2018Publication date: May 16, 2019Inventors: John P. SADAUSKAS, Erik R. RACHO, Xindeling PAN, Lynn CHANG, Anne HONG, Keith JONES, Miles T. LORING, Paul C. GRUDNITSKI, Vishal KAPOOR
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Publication number: 20190042578Abstract: Systems and methods for automated aggregated content commenting are disclosed herein. Such a system can include a memory including a content database; an evaluation criteria database; and a comment database. The system can include at least one server. The at least one server can: receive a content identifier; receive a user identifier; provide a representation of the piece of content to the user; receive a comment from the user identifying a portion of the piece of content; generate a portion of the comment database linked to the user and the content; generate an entry in the portion of the comment database linked to the user and the content; and store the comment in the entry in the portion of the comment database.Type: ApplicationFiled: July 10, 2018Publication date: February 7, 2019Inventors: Miles T. Loring, Paul S. Grudnitski, Vishal Kapoor
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Publication number: 20180375926Abstract: A distributed processing method is disclosed herein for evaluating student work product. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine learning capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive an analysis results from the one or several independent processing units, and can update the result based on a value scoring the machine learning of the independent processing unit.Type: ApplicationFiled: August 29, 2018Publication date: December 27, 2018Inventors: Holly Garner, Miles T. Loring, Vishal Kapoor
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Patent number: 10153984Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.Type: GrantFiled: June 30, 2017Date of Patent: December 11, 2018Assignee: PEARSON EDUCATION, INC.Inventors: Nicholas A. Dronen, Jr., Peter W. Foltz, Holly Garner, Miles T. Loring, Vishal Kapoor
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Patent number: 10148589Abstract: A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.Type: GrantFiled: September 29, 2015Date of Patent: December 4, 2018Assignee: PEARSON EDUCATION, INC.Inventors: Nicholas A. Dronen, Peter W. Foltz, Holly Garner, Miles T. Loring, Vishal Kapoor
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Publication number: 20180329961Abstract: A file receiver receives an electronic structure file that includes structure-file data associated with a spatial arrangement and detects a content object for processing that includes content-object data. A file transformation engine transforms the structure-file data from the structure file into an electronic record. A rendering engine renders an image of the transformed structure-file data arranged in the spatial arrangement. An interface engine detects an input corresponding to specification of a position of a data segment. A parsing engine defines a segment-position specification indicative of the position. A template engine generates an electronic template that associates an identifier of the data segment with the segment-position specification and associates the electronic template with a template identifier. A record classifier determines that the content object corresponds to the template identifier.Type: ApplicationFiled: July 26, 2018Publication date: November 15, 2018Inventors: Vishal Kapoor, Miles Loring, Cole Cecil, Jesse Peterson, Umamakeswaran Veerasingam, Sanjay Zope