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公开(公告)号：US11295323B2
公开(公告)日：2022-04-05
申请号：US16710649
申请日：2019-12-11
申请人： Intuit Inc.
摘要： Systems and methods that may be used to generate and use a social graph generated by user financial transaction data (i.e., a financial transaction-based social graph). Connections and other data within the financial transaction-based social graph can be used for targeted product offerings, other offerings, and or advertisements via e.g., collaborative filtering and user segmentation and profiling.
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公开(公告)号：US11164245B1
公开(公告)日：2021-11-02
申请号：US16115186
申请日：2018-08-28
申请人： Intuit Inc.
发明人： Yehezkel S. Resheff , Shimon Shahar , Yair Horesh , Noa Haas
摘要： A method and system identify characteristics of financial transaction description strings. The method and system trains an analysis model with a machine learning process to classify financial transaction description strings. The analysis model generates a table that indicates the portions of the financial transaction description strings that were relevant in classifying the financial transaction description strings and the portions that were not relevant.
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公开(公告)号：US11381381B2
公开(公告)日：2022-07-05
申请号：US16427549
申请日：2019-05-31
申请人： INTUIT INC.
摘要： Certain aspects of the present disclosure provide techniques for performing computations on encrypted data. One example method generally includes obtaining, at a computing device, encrypted data, wherein the encrypted data is encrypted using fully homomorphic encryption and performing at least one computation on the encrypted data while the encrypted data remains encrypted. The method further includes identifying a clear data operation to perform on the encrypted data and transmitting, from the computing device to a server, a request to perform the clear data operation on the encrypted data, wherein the request includes the encrypted data. The method further includes receiving, at the computing device in response to the request, encrypted output from the server, wherein the encrypted output is of the same size and the same format for all encrypted data transmitted to the server.
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公开(公告)号：US11379611B1
公开(公告)日：2022-07-05
申请号：US16522356
申请日：2019-07-25
申请人： INTUIT INC.
摘要： Certain aspects of the present disclosure provide techniques for privacy-preserving execution of a workflow in a software application. Embodiments include generally includes receiving homomorphically encrypted inputs from a client device corresponding to user-provided data needed to calculate a result for a step of a workflow in the software application. A result is calculated for the step of the workflow using the received homomorphically encrypted inputs. The calculated result is returned to the client device. The calculated result is homomorphically encrypted as a result of calculating the result using the received homomorphically encrypted inputs.
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公开(公告)号：US11797644B2
公开(公告)日：2023-10-24
申请号：US17316822
申请日：2021-05-11
申请人： INTUIT INC.
摘要： Certain aspects of the present disclosure provide techniques for detecting errors in account numbers. One example method generally includes receiving, from a user device, an entered number associated with a user and determining, based on a first portion of the entered number, an entity associated with the entered number. The method further includes obtaining, from an account number database, a plurality of account numbers associated with the entity and generating, from the plurality of account numbers, an account number matrix. The method further includes attempting to solve a multiplication equation of the account number matrix, wherein a solution of the multiplication equation is a vector of constants, upon determining a solution to the multiplication equation, determining whether the entered vector is a valid number for the entity and upon determining the entered vector is a valid number for the entity, storing the entered number in the account number database.
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公开(公告)号：US11775737B2
公开(公告)日：2023-10-03
申请号：US17160833
申请日：2021-01-28
申请人： Intuit Inc.
IPC分类号： G06F40/166 , G06N5/04 , G06F40/103
CPC分类号： G06F40/166 , G06F40/103 , G06N5/04
摘要： Transactions include text fields, such as description fields. Transactions are extracted from financial institutions using web-scraping extraction. In the process of extracting transactions, errors can be introduced into text fields, such as the inclusion of a space within a word or the removal of a space between words. A statistical approach is applied to the text fields. When two alternative text fields are presented, the alternative that statistically includes more common tokens, such as unigrams and bigrams, is chosen as the correct alternative. The incorrect alternative is replaced by the correct alternative in the text field.
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公开(公告)号：US11036828B1
公开(公告)日：2021-06-15
申请号：US16526863
申请日：2019-07-30
申请人： INTUIT INC.
摘要： Certain aspects of the present disclosure provide techniques for detecting errors in account numbers. One example method generally includes receiving, from a user device, an entered number associated with a user and determining, based on a first portion of the entered number, an entity associated with the entered number. The method further includes obtaining, from an account number database, a plurality of account numbers associated with the entity and generating, from the plurality of account numbers, an account number matrix. The method further includes attempting to solve a multiplication equation of the account number matrix, wherein a solution of the multiplication equation is a vector of constants, upon determining a solution to the multiplication equation, determining whether the entered vector is a valid number for the entity and upon determining the entered vector is a valid number for the entity, storing the entered number in the account number database.
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公开(公告)号：US20210027302A1
公开(公告)日：2021-01-28
申请号：US16521814
申请日：2019-07-25
申请人： Intuit Inc.
摘要： Machine learning-based anomaly detection methods are used to identify a change in a user's streaming transaction data. If a threshold level of change in the user's transaction data is detected, the user is then identified as potentially having experienced a life event. Then, after a user is identified has having potentially experienced a life event, individual user transactions are processed and analyzed to determine the specific life event the user has most likely experienced. The user is then identified as having experienced the identified specific life event. This information is then used to customize the interactions between the user and the data management system such as questions asked of the user, forms or displays provided to the user, or offers made to the user.
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公开(公告)号：US20210241331A1
公开(公告)日：2021-08-05
申请号：US16779781
申请日：2020-02-03
申请人： Intuit Inc.
发明人： Erez Katzenelson , Elik Sror , Shlomi Medalion , Shimon Shahar , Shir Meir Lador , Sigalit Bechler , Alexander Zhicharevich , Onn Bar
摘要： In one aspect, the present disclosure relates to a method of generating business descriptions performed by a server, said method may include: receiving a plurality of invoices, each invoice being associated with a business of a plurality of businesses; extracting a plurality of texts from the plurality of invoices; embedding the plurality of texts to a vector space to obtain a plurality of invoice vectors; generating a plurality of clusters in the vector space, each cluster of the plurality of clusters comprising at least one invoice vector of the plurality of invoice vectors; generating a description for a cluster, the description for the cluster representing all invoice vectors assigned to the cluster; for each business of the plurality of businesses that has at least one invoice vector assigned to the cluster, associating the business with the description; and indexing the plurality of businesses within a database by the generated descriptions.
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公开(公告)号：US20210241072A1
公开(公告)日：2021-08-05
申请号：US16779785
申请日：2020-02-03
申请人： Intuit Inc.
发明人： Erez Katzenelson , Elik Sror , Shlomi Medalion , Shimon Shahar , Shir Meir Lador , Sigalit Bechler , Alexander Zhicharevich , Onn Bar
IPC分类号： G06N3/04 , G06F16/9535 , G06N3/08
摘要： A method for recommending offerings to a business may include: receiving a request for recommended business offerings from a device; receiving business data associated with a business from the device, the business data comprising invoice data associated with the business; embedding the business data to a vector space to obtain a business vector, the vector space comprising a plurality of other vectors associated with other businesses; calculating a relation metric between the business vector and a vector of the plurality of other vectors, the vector being associated with a second business, the relation metric representing a degree of relation between the business and the second business; determining that the relation metric is above a pre-defined threshold value; and responsive to the determining, sending business data associated with the second business to the device, the business data associated with the second business comprising invoice data associated with the second business.
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