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公开(公告)号：US10373064B2
公开(公告)日：2019-08-06
申请号：US14991619
申请日：2016-01-08
Applicant: Intuit Inc.
Inventor： Massimo Mascaro , Joseph Cessna , Peter Ouyang
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.
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公开(公告)号：US20170186097A1
公开(公告)日：2017-06-29
申请号：US14981129
申请日：2015-12-28
Applicant: Intuit Inc.
Inventor： Massimo Mascaro , Joseph Cessna , Peter Ouyang
CPC classification number: G06Q40/123 , G06F16/24575 , G06F16/2477 , G06F16/9535
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.
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公开(公告)号：US20170308960A1
公开(公告)日：2017-10-26
申请号：US15137704
申请日：2016-04-25
Applicant: Intuit Inc.
Inventor： Massimo Mascaro , Joseph Cessna , Peter Ouyang
IPC: G06Q40/00
CPC classification number: G06Q40/123
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.
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公开(公告)号：US20170200087A1
公开(公告)日：2017-07-13
申请号：US14991619
申请日：2016-01-08
Applicant: Intuit Inc.
Inventor： Massimo Mascaro , Joseph Cessna , Peter Ouyang
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.
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公开(公告)号：US20170178199A1
公开(公告)日：2017-06-22
申请号：US14979094
申请日：2015-12-22
Applicant: Intuit Inc.
Inventor： Joseph Cessna , Massimo Mascaro , Peter Ouyang
CPC classification number: G06Q30/0271 , G06Q30/0201 , G06Q30/0277 , G06Q40/123 , H04L67/02
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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Patent Agency Ranking
公开(公告)号：US11409732B2
公开(公告)日：2022-08-09
申请号：US16745604
申请日：2020-01-17
Applicant: Intuit Inc.
Inventor： Vitor R. Carvalho , Janani Kalyanam , Leah Zhao , Peter Ouyang
IPC: G06F16/23 , G06F16/2458 , G06F16/22
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.
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公开(公告)号：US11270235B1
公开(公告)日：2022-03-08
申请号：US16149714
申请日：2018-10-02
Applicant: INTUIT INC.
Inventor： Madelaine Daianu , Xiao Xiao , Yao Morin , Peter Ouyang
Abstract: Certain aspects of the present disclosure provide techniques for providing a routing system to a user of a product. An example technique includes receiving from a user of a product a query and a personal ID. Based on the personal ID of the user, the user's profile is retrieved which comprises user attribute data, a clickstream history of the user, and a product SKU of the product. Based on the query and the user profile, processed user data is generated. Additionally, agent profile data for each available agent is retrieved, and based on the user attribute data, the processed user data, and the agent profile data of each agent, a predicted quality score is generated for each agent. The agent with the highest predicted quality score is determined, and the user is routed to the agent with the highest predicted quality score.
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公开(公告)号：US20210224247A1
公开(公告)日：2021-07-22
申请号：US16745604
申请日：2020-01-17
Applicant: Intuit Inc.
Inventor： Vitor R. Carvalho , Janani Kalyanam , Leah Zhao , Peter Ouyang
IPC: G06F16/23 , G06F16/22 , G06F16/2458
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.
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公开(公告)号：US11775504B2
公开(公告)日：2023-10-03
申请号：US17855693
申请日：2022-06-30
Applicant: Intuit Inc.
Inventor： Vitor R. Carvalho , Janani Kalyanam , Leah Zhao , Peter Ouyang
IPC: G06F16/23 , G06F16/2458 , G06F16/22
CPC classification number: G06F16/2365 , G06F16/2246 , G06F16/2462
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.
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公开(公告)号：US20220335035A1
公开(公告)日：2022-10-20
申请号：US17855693
申请日：2022-06-30
Applicant: Intuit Inc.
Inventor： Vitor R. Carvalho , Janani Kalyanam , Leah Zhao , Peter Ouyang
IPC: G06F16/23 , G06F16/2458 , G06F16/22
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.
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