Peter Ouyang resumes & CV records
Resumes
Peter P Ouyang, Age 471275 Green Orchard Pl, Encinitas, CA 92024
Peter Ouyang Phones & Addresses
1275 Green Orchard Pl, Encinitas, CA 92024 (805) 451-4198
West Lafayette, IN
Madison, WI
Goleta, CA
217 Eisenhower St, Princeton, NJ 08540 (609) 688-8744
217-B Eisenhower St, Princeton, NJ 08540 (609) 688-8744
W Lafayette, IN
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Us Patents
Computer Estimations Based On Statistical Tree Structures
US Patent:
2021022, Jul 22, 2021
Filed:
Jan 17, 2020
Appl. No.:
16/745604
Inventors:
- Mountain View CA, US
Janani Kalyanam - San Diego CA, US
Leah Zhao - San Diego CA, US
Peter Ouyang - Del Mar CA, US
Janani Kalyanam - San Diego CA, US
Leah Zhao - San Diego CA, US
Peter Ouyang - Del Mar CA, US
Assignee:
Intuit Inc. - Mountain View CA
International Classification:
G06F 16/23
G06F 16/22
G06F 16/2458
G06F 16/22
G06F 16/2458
Abstract:
A method for computer estimations based on statistical tree structures involves obtaining a statistical tree structure for reference elements. The statistical tree structure includes leaf nodes segmenting a statistic for a data label according to data features in the reference elements, and intermediate nodes connecting a first node to the leaf nodes. Each of the first node and the intermediate nodes provide a branching based on one of the data features. The method further includes obtaining target data, including values for the data features, and a value for the data label. The method also includes selecting the first node, associated with a first data feature, traversing the statistical tree structure to a leaf node by matching the values of the data features to the branching of the intermediate nodes, and assessing the value for the data label in the target data based on the statistic associated with the leaf node.
Method And System For Applying Dynamic And Adaptive Testing Techniques To A Software System To Improve Selection Of Predictive Models For Personalizing User Experiences In The Software System
US Patent:
2017030, Oct 26, 2017
Filed:
Apr 25, 2016
Appl. No.:
15/137704
Inventors:
- Mountain View CA, US
Joseph Cessna - San Diego CA, US
Peter Ouyang - San Diego CA, US
Joseph Cessna - San Diego CA, US
Peter Ouyang - San Diego CA, US
Assignee:
Intuit Inc. - Mountain View CA
International Classification:
G06Q 40/00
Abstract:
A method and system adaptively improves potential customer conversion rates, revenue metrics, and/or other target metrics by providing effective user experience options to some users while concurrently testing user responses to other user experience options, according to one embodiment. The method and system selects the user experience options by applying user characteristics data to an analytics model to identify a predictive model that selects or determines the user experience options, according to one embodiment. The method and system analyzes user responses to the predictive model and/or user experience options to update the analytics model, and to dynamically adapt the personalization of the user experience options, according to one embodiment. The method and system dynamically and automatically defines, evaluates, and updates analytics models to provide progressively improving personalization of user experiences in a software system.
Method And System For Updating Analytics Models That Are Used To Dynamically And Adaptively Provide Personalized User Experiences In A Software System
US Patent:
2017030, Oct 19, 2017
Filed:
Apr 15, 2016
Appl. No.:
15/130560
Inventors:
- Mountain View CA, US
Joseph Cessna - San Diego CA, US
Peter Ouyang - San Diego CA, US
Joseph Cessna - San Diego CA, US
Peter Ouyang - San Diego CA, US
Assignee:
Intuit Inc. - Mountain View CA
International Classification:
G06Q 30/02
G06N 99/00
G06N 7/00
G06Q 40/00
G06Q 40/00
G06N 99/00
G06N 7/00
G06Q 40/00
G06Q 40/00
Abstract:
A method and system adaptively improves potential customer conversion rates, revenue metrics, and/or other target metrics by providing effective user experience options to some users while concurrently testing user responses to other user experience options, according to one embodiment. The method and system selects the user experience options by applying user characteristics data to an analytics model, according to one embodiment. The method and system analyzes user responses to the user experience options to update the analytics model, and to dynamically adapt the personalization of the user experience options, according to one embodiment. The method and system dynamically and automatically defines, evaluates, and updates analytics models to provide progressively improving personalization of user experiences in a software system.
Estimating Complex Workflow Results Using Representative Data Points And Workflow Execution History
US Patent:
2017024, Aug 24, 2017
Filed:
Feb 22, 2016
Appl. No.:
15/049982
Inventors:
- Mountain View CA, US
Timothy MUELLER - San Diego CA, US
Jeremy BOWEN - San Diego CA, US
Massimo MASCARO - San Diego CA, US
Sasha PEREZ - San Diego CA, US
Alexander ADAM - San Diego CA, US
Peter OUYANG - San Diego CA, US
Timothy MUELLER - San Diego CA, US
Jeremy BOWEN - San Diego CA, US
Massimo MASCARO - San Diego CA, US
Sasha PEREZ - San Diego CA, US
Alexander ADAM - San Diego CA, US
Peter OUYANG - San Diego CA, US
International Classification:
G06Q 10/06
G06F 17/30
G06F 17/30
Abstract:
The present disclosure relates to generating estimated results of an interactive workflow based on user input of one or more representative data points and results of the interactive workflow for other users. According to one embodiment, a workflow processing system receives a request to estimate a result expected to be obtained by a first user in completing the interactive workflow and receives one or more representative data points characterizing the first user. The workflow processing system determines an estimate of the result expected to be obtained by a first user in completing the interactive workflow based on the representative data points and an analysis of results of the interactive workflow obtained by a plurality of second users in completing the interactive workflow, wherein each of the plurality of second users share the representative data points characterizing the first user.
Method And System For Adjusting Analytics Model Characteristics To Reduce Uncertainty In Determining Users' Preferences For User Experience Options, To Support Providing Personalized User Experiences To Users With A Software System
US Patent:
2017020, Jul 13, 2017
Filed:
Jan 8, 2016
Appl. No.:
14/991619
Inventors:
- Mountain View CA, US
Joseph Cessna - San Diego CA, US
Peter Ouyang - San Diego CA, US
Joseph Cessna - San Diego CA, US
Peter Ouyang - San Diego CA, US
Assignee:
Intuit Inc. - Mountain View CA
International Classification:
G06N 7/00
G06Q 20/14
G06Q 40/00
G06N 5/02
G06Q 20/14
G06Q 40/00
G06N 5/02
Abstract:
A method and system adaptively improves potential customer conversion rates, revenue metrics, and/or other target metrics by providing effective user experience options, from a variety of different user experience options, to some users while concurrently testing user responses to other user experience options, according to one embodiment. The method and system selects the user experience options by applying user characteristics data to an analytics model, according to one embodiment. The characteristics of the analytics model are adjusted and/or tuned to control/reduce uncertainty in identifying effective user experience options, according to one embodiment. The method and system analyzes user responses to the user experience options to update the analytics model, and to dynamically adapt the personalization of the user experience options, at least partially based on feedback from users, according to one embodiment.
Method And System For Using Temporal Data And/Or Temporally Filtered Data In A Software System To Optimize, Improve, And/Or Modify Generation Of Personalized User Experiences For Users Of A Tax Return Preparation System
US Patent:
2017018, Jun 29, 2017
Filed:
Dec 28, 2015
Appl. No.:
14/981129
Inventors:
- Mountain View CA, US
Joseph Cessna - San Diego CA, US
Peter Ouyang - San Diego CA, US
Joseph Cessna - San Diego CA, US
Peter Ouyang - San Diego CA, US
Assignee:
Intuit Inc. - Mountain View CA
International Classification:
G06Q 40/00
G06F 17/30
G06F 17/30
Abstract:
A method and system adaptively improves potential customer conversion rates, revenue metrics, and/or other target metrics by providing effective user experience options, from a variety of different user experience options, to some users while concurrently testing user responses to other user experience options, according to one embodiment. The method and system selects the user experience options by applying user characteristics data to an analytics model, according to one embodiment. The user characteristics data include time data, e.g., when a user interacts with a software system, according to one embodiment. The method and system applies one or more time filters to data samples to train the analytics model, and the method and system analyzes user responses to the user experience options to update the analytics model, and to dynamically adapt the personalization of the user experience options, at least partially based on feedback from users, according to one embodiment.
Method And System For Adaptively Providing Personalized Marketing Experiences To Potential Customers And Users Of A Tax Return Preparation System
US Patent:
2017017, Jun 22, 2017
Filed:
Dec 22, 2015
Appl. No.:
14/979094
Inventors:
- Mountain View CA, US
Massimo Mascaro - San Diego CA, US
Peter Ouyang - San Diego CA, US
Massimo Mascaro - San Diego CA, US
Peter Ouyang - San Diego CA, US
Assignee:
Intuit Inc. - Mountain View CA
International Classification:
G06Q 30/02
H04L 29/08
G06Q 40/00
H04L 29/08
G06Q 40/00
Abstract:
A method and system adaptively improves potential customer conversion rates, revenue metrics, and/or other target metrics by providing effective marketing experience options, from a variety of different marketing experience options, to some users while concurrently testing user responses to other marketing experience options, according to one embodiment. The method and system selects the marketing experience options by applying user characteristics data to an analytics model, according to one embodiment. The method and system analyzes user responses to the marketing experience options to update the analytics model, and to dynamically adapt the personalization of the marketing experience options, at least partially based on feedback from users, according to one embodiment.
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