Patents by Inventor Ngoc Nhung Ho
Ngoc Nhung Ho 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: 20240060791Abstract: Certain aspects of the present disclosure provide techniques for intelligent grouping of travel data for review through a user interface. In one example, a method for providing grouped travel data to a user interface of an application includes receiving travel data from an application running on a remote device; generating one or more travel data-based features from the travel data thereby creating featurized travel data; applying a pattern mining technique to the featurized travel data to detect a plurality of patterns in the featurized travel data; for each trip record in the featurized travel data: determining a plurality of trip record groups in which the trip record falls based on the plurality of patterns; and adding the trip record to a trip record group of the plurality of trip record groups according to a prioritization scheme; and transmitting the trip record group to the application running on the remote device.Type: ApplicationFiled: October 30, 2023Publication date: February 22, 2024Inventors: Grace WU, Shashank SHASHIKANT RAO, Susrutha GONGALLA, Ngoc Nhung HO
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Patent number: 11907864Abstract: Aspects of the present disclosure provide techniques for classifying a trip. Embodiments include receiving, from a plurality of users, a plurality of historical trip records. Each of the plurality of historical trip records may comprise one or more historical trip attributes and historical classification information. Embodiments include training a predictive model, using the plurality of historical trip records, to classify trips based on trip records. Training the predictive model may comprise determining a plurality of hot spots based on the historical trip records, each of the plurality of hot spots comprising a region encompassing one or more locations, and associating, in the predictive model, the plurality of hot spots with historical classification information. Embodiments include receiving, from a user, a new trip record comprising a plurality of trip attributes related to a trip and using the predictive model to predict a classification for the trip based on the trip record.Type: GrantFiled: April 3, 2023Date of Patent: February 20, 2024Assignee: Intuit, Inc.Inventors: Grace Wu, Shashank Shashikant Rao, Susrutha Gongalla, Ngoc Nhung Ho, Carly Wood, Vaibhav Sharma
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Patent number: 11802777Abstract: Certain aspects of the present disclosure provide techniques for intelligent grouping of travel data for review through a user interface. In one example, a method for providing grouped travel data to a user interface of an application includes receiving travel data from an application running on a remote device; generating one or more travel data-based features from the travel data thereby creating featurized travel data; applying a pattern mining technique to the featurized travel data to detect a plurality of patterns in the featurized travel data; for each trip record in the featurized travel data: determining a plurality of trip record groups in which the trip record falls based on the plurality of patterns; and adding the trip record to a trip record group of the plurality of trip record groups according to a prioritization scheme; and transmitting the trip record group to the application running on the remote device.Type: GrantFiled: February 21, 2023Date of Patent: October 31, 2023Assignee: Intuit, Inc.Inventors: Grace Wu, Shashank Shashikant Rao, Susrutha Gongalla, Ngoc Nhung Ho
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Publication number: 20230325693Abstract: Aspects of the present disclosure provide techniques for classifying a trip. Embodiments include receiving, from a plurality of users, a plurality of historical trip records. Each of the plurality of historical trip records may comprise one or more historical trip attributes and historical classification information. Embodiments include training a predictive model, using the plurality of historical trip records, to classify trips based on trip records. Training the predictive model may comprise determining a plurality of hot spots based on the historical trip records, each of the plurality of hot spots comprising a region encompassing one or more locations, and associating, in the predictive model, the plurality of hot spots with historical classification information. Embodiments include receiving, from a user, a new trip record comprising a plurality of trip attributes related to a trip and using the predictive model to predict a classification for the trip based on the trip record.Type: ApplicationFiled: April 3, 2023Publication date: October 12, 2023Inventors: Grace WU, Shashank SHASHIKANT RAO, Susrutha GONGALLA, Ngoc Nhung HO, Carly WOOD, Vaibhav SHARMA
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Publication number: 20230316155Abstract: Certain aspects of the present disclosure provide techniques for recommending trip purposes to users of an application. Embodiments include receiving labeled travel data from the application running on a remote device including a plurality of trip purposes. Embodiments include building a topic model representing words associated with a plurality of topics. Embodiments include training a topic prediction model, using the plurality of topics and one or more features derived from each of the plurality of trip records, to output a topic based on an input trip record. Embodiments include training a purpose prediction model, using the topic model and the plurality of trip purposes, to output a trip purpose based on an input topic. The trip purpose may be recommended to a user via a user interface of the application running on the remote device.Type: ApplicationFiled: November 2, 2022Publication date: October 5, 2023Inventors: Grace WU, Shashank SHASHIKANT RAO, Susrutha GONGALLA, Ngoc Nhung HO
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Patent number: 11693888Abstract: Certain aspects of the present disclosure provide techniques for intelligent grouping of travel data for review through a user interface. In one embodiment, a method for providing grouped travel data to a user interface of an application, comprises: receiving a plurality of trip records from an application running on a remote device; providing a first subset of the plurality of trip records to a prediction model; providing a second subset of the plurality of trip records to a model training module; receiving labels for each trip record of the first subset of the plurality of trip records from the prediction model; grouping the first subset of the plurality of trip records based on the received labels; and transmitting the grouped first subset of the plurality of trip records to the application running on the remote device.Type: GrantFiled: July 10, 2019Date of Patent: July 4, 2023Assignee: INTUIT, INC.Inventors: Grace Wu, Shashank Shashikant Rao, Susrutha Gongalla, Ngoc Nhung Ho, Carly Wood, Brooke Henderer, Vaibhav Sharma, Prasannavenkatesh Chandrasekar
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Publication number: 20230194289Abstract: Certain aspects of the present disclosure provide techniques for intelligent grouping of travel data for review through a user interface. In one example, a method for providing grouped travel data to a user interface of an application includes receiving travel data from an application running on a remote device; generating one or more travel data-based features from the travel data thereby creating featurized travel data; applying a pattern mining technique to the featurized travel data to detect a plurality of patterns in the featurized travel data; for each trip record in the featurized travel data: determining a plurality of trip record groups in which the trip record falls based on the plurality of patterns; and adding the trip record to a trip record group of the plurality of trip record groups according to a prioritization scheme; and transmitting the trip record group to the application running on the remote device.Type: ApplicationFiled: February 21, 2023Publication date: June 22, 2023Inventors: Grace WU, Shashank SHASHIKANT RAO, Susrutha GONGALLA, Ngoc Nhung HO
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Patent number: 11645564Abstract: Aspects of the present disclosure provide techniques for classifying a trip. Embodiments include receiving, from a plurality of users, a plurality of historical trip records. Each of the plurality of historical trip records may comprise one or more historical trip attributes and historical classification information. Embodiments include training a predictive model, using the plurality of historical trip records, to classify trips based on trip records. Training the predictive model may comprise determining a plurality of hot spots based on the historical trip records, each of the plurality of hot spots comprising a region encompassing one or more locations, and associating, in the predictive model, the plurality of hot spots with historical classification information. Embodiments include receiving, from a user, a new trip record comprising a plurality of trip attributes related to a trip and using the predictive model to predict a classification for the trip based on the trip record.Type: GrantFiled: August 17, 2021Date of Patent: May 9, 2023Assignee: INTUIT, INC.Inventors: Grace Wu, Shashank Shashikant Rao, Susrutha Gongalla, Ngoc Nhung Ho, Carly Wood, Vaibhav Sharma
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Patent number: 11585671Abstract: Certain aspects of the present disclosure provide techniques for intelligent grouping of travel data for review through a user interface. In one example, a method for providing grouped travel data to a user interface of an application includes receiving travel data from an application running on a remote device; generating one or more travel data-based features from the travel data thereby creating featurized travel data; applying a pattern mining technique to the featurized travel data to detect a plurality of patterns in the featurized travel data; for each trip record in the featurized travel data: determining a plurality of trip record groups in which the trip record falls based on the plurality of patterns; and adding the trip record to a trip record group of the plurality of trip record groups according to a prioritization scheme; and transmitting the trip record group to the application running on the remote device.Type: GrantFiled: July 10, 2019Date of Patent: February 21, 2023Assignee: INTUIT INC.Inventors: Grace Wu, Shashank Shashikant Rao, Susrutha Gongalla, Ngoc Nhung Ho
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Patent number: 11574315Abstract: A method and system identify assistance offerings that are likely to be relevant to users of a data management system. The method and system utilize a multivariate random forest regression machine learning process to train an assistance offerings recommendation model to recommend relevant assistance offerings to users of the data management system. The multivariate random forest regression machine learning process replaces zero values in the training set data with negative numbers to increase the accuracy of the machine learning process.Type: GrantFiled: December 17, 2020Date of Patent: February 7, 2023Assignee: Intuit Inc.Inventors: Linxia Liao, Ngoc Nhung Ho, Bei Huang, Meng Chen
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Patent number: 11526811Abstract: Certain aspects of the present disclosure provide techniques for recommending trip purposes to users of an application. Embodiments include receiving labeled travel data from the application running on a remote device including a plurality of trip purposes. Embodiments include building a topic model representing words associated with a plurality of topics. Embodiments include training a topic prediction model, using the plurality of topics and one or more features derived from each of the plurality of trip records, to output a topic based on an input trip record. Embodiments include training a purpose prediction model, using the topic model and the plurality of trip purposes, to output a trip purpose based on an input topic. The trip purpose may be recommended to a user via a user interface of the application running on the remote device.Type: GrantFiled: July 12, 2019Date of Patent: December 13, 2022Assignee: INTUIT, INC.Inventors: Grace Wu, Shashank Shashikant Rao, Susrutha Gongalla, Ngoc Nhung Ho
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Patent number: 11429881Abstract: Certain aspects of the present disclosure provide techniques for providing personalized groups of travel data for review through a user interface. Embodiments include receiving trip records associated with a user from an application running on a remote device, providing the trip records to a prediction model, and receiving a plurality of groups from the prediction model, each group of the plurality of groups comprising a subset of the trip records. Embodiments include providing each group of the plurality of groups to a personalization model, the personalization model having been trained based on user feedback to determine personalization scores for each group of the plurality of groups. Embodiments include receiving a personalization score for each group of the plurality of groups from the personalization model and transmitting one or more groups selected based on the personalization scores to the application to be displayed via the user interface.Type: GrantFiled: July 12, 2019Date of Patent: August 30, 2022Assignee: INTUIT, INC.Inventors: Grace Wu, Shashank Shashikant Rao, Susrutha Gongalla, Ngoc Nhung Ho
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Publication number: 20220067560Abstract: Aspects of the present disclosure provide techniques for classifying a trip. Embodiments include receiving, from a plurality of users, a plurality of historical trip records. Each of the plurality of historical trip records may comprise one or more historical trip attributes and historical classification information. Embodiments include training a predictive model, using the plurality of historical trip records, to classify trips based on trip records. Training the predictive model may comprise determining a plurality of hot spots based on the historical trip records, each of the plurality of hot spots comprising a region encompassing one or more locations, and associating, in the predictive model, the plurality of hot spots with historical classification information. Embodiments include receiving, from a user, a new trip record comprising a plurality of trip attributes related to a trip and using the predictive model to predict a classification for the trip based on the trip record.Type: ApplicationFiled: August 17, 2021Publication date: March 3, 2022Inventors: Grace Wu, Shashank Shashikant Rao, Susrutha Gongalla, Ngoc Nhung Ho, Carly Wood, Vaibhav Sharma
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Patent number: 11120349Abstract: Aspects of the present disclosure provide techniques for classifying a trip. Embodiments include receiving, from a plurality of users, a plurality of historical trip records. Each of the plurality of historical trip records may comprise one or more historical trip attributes and historical classification information. Embodiments include training a predictive model, using the plurality of historical trip records, to classify trips based on trip records. Training the predictive model may comprise determining a plurality of hot spots based on the historical trip records, each of the plurality of hot spots comprising a region encompassing one or more locations, and associating, in the predictive model, the plurality of hot spots with historical classification information. Embodiments include receiving, from a user, a new trip record comprising a plurality of trip attributes related to a trip and using the predictive model to predict a classification for the trip based on the trip record.Type: GrantFiled: March 6, 2018Date of Patent: September 14, 2021Assignee: INTUIT, INC.Inventors: Grace Wu, Shashank Shashikant Rao, Susrutha Gongalla, Ngoc Nhung Ho, Carly Wood, Vaibhav Sharma
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Patent number: 10977663Abstract: A method and system identify assistance offerings that are likely to be relevant to users of a data management system. The method and system utilize a multivariate random forest regression machine learning process to train an assistance offerings recommendation model to recommend relevant assistance offerings to users of the data management system. The multivariate random forest regression machine learning process replaces zero values in the training set data with negative numbers to increase the accuracy of the machine learning process.Type: GrantFiled: February 26, 2018Date of Patent: April 13, 2021Assignee: Intuit Inc.Inventors: Linxia Liao, Ngoc Nhung Ho, Bei Huang, Meng Chen
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Publication number: 20210103935Abstract: A method and system identify assistance offerings that are likely to be relevant to users of a data management system. The method and system utilize a multivariate random forest regression machine learning process to train an assistance offerings recommendation model to recommend relevant assistance offerings to users of the data management system. The multivariate random forest regression machine learning process replaces zero values in the training set data with negative numbers to increase the accuracy of the machine learning process.Type: ApplicationFiled: December 17, 2020Publication date: April 8, 2021Applicant: Intuit Inc.Inventors: Linxia Liao, Ngoc Nhung Ho, Bei Huang, Meng Chen
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Publication number: 20180018734Abstract: Financial transaction data representing a current financial transaction is processed and divided into financial transaction data segments of one of more words or symbols. A financial transaction data segment in the current financial transaction is assigned a financial transaction data segment score based on an analysis of historical financial transaction categorizations of historical financial transactions containing the same financial transaction data segment. The calculated financial transaction data segment score is then compared with a defined threshold financial transaction data segment score and, if the calculated financial transaction data segment score is greater than the threshold financial transaction data segment score, the financial transaction containing the financial transaction data segment is categorized, at least temporarily, as being a first financial transaction category financial transaction.Type: ApplicationFiled: July 18, 2016Publication date: January 18, 2018Applicant: Intuit Inc.Inventors: Ngoc Nhung Ho, Meng Chen, Lei Pei