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公开(公告)号：US10963842B1
公开(公告)日：2021-03-30
申请号：US16446939
申请日：2019-06-20
申请人： Intuit Inc.
IPC分类号： G06F15/173 , G06Q10/10 , G06F16/906 , H04L12/58
摘要： One or more embodiments includes storing a group email message in multiple email mailboxes to obtain multiple stored email messages, receiving, for a first stored email message in the stored email messages, an updated label from a first user computing device, detecting, in response to receiving the updated label, that the stored email messages matches the first stored email message, and storing the updated label with at least a subset of the stored email messages. The method further includes transmitting, with the updated label and to a second user computing system, a second stored email message in the stored email messages.
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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：US11275585B2
公开(公告)日：2022-03-15
申请号：US16568988
申请日：2019-09-12
申请人： Intuit Inc.
摘要： Systems and methods that approximate and use branching operations on data encrypted by fully homomorphic encryption (FHE). The systems and methods may use polynomial approximation to convert “if” statements into “soft if” statements that may be applied to the FHE encrypted data in a manner that preserves the security of the systems and methods.
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4.发明申请公开(公告)号：US20210065245A1
公开(公告)日：2021-03-04
申请号：US16557958
申请日：2019-08-30
申请人： Intuit Inc.
IPC分类号： G06Q30/02 , G06K9/62 , G06N20/00 , G06F16/901 , G06F16/9035 , G06F16/9536
摘要： A method including receiving a data structure describing transactions between electronic user accounts associated with users. A relationship graph is constructed from the data in the data structure. The relationship graph has nodes representing entities described in the transactions. The relationship graph has edges representing connections between the nodes. The method also includes clustering groups of nodes within the nodes to form clusters among the nodes. The edges are labeled as relationships types. Labeling is performed by receiving, as input to a machine learning model, a vector having attributes representing the clusters, the nodes, and the edges. Labeling is also performed by outputting, from the machine learning model, probabilities. Each of the probabilities corresponds to a corresponding probability that an edge in the edges represents a relationship type between two nodes in the nodes. Labeling is also performed by labeling, based on the output, the edges as the relationship types.
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公开(公告)号：US20210027365A1
公开(公告)日：2021-01-28
申请号：US16522075
申请日：2019-07-25
申请人： Intuit Inc.
摘要： Test deposit mechanisms used by financial institutions to link accounts are used to identify undisclosed accounts associated with users of a data management system. The potential existence of undisclosed accounts is determined based on the assumption that the presence of test deposit transactions in user account data is a strong indication that an undisclosed user account exists. Using this assumption, transaction data from user accounts disclosed to a user data management system is scanned to identify test deposit transactions listed in the transaction data. If test deposit transactions are identified, the user of the data management system is queried regarding the existence of the undisclosed user account. If the user confirms the existence of the undisclosed account, the formally undisclosed account is added to a set of disclosed user accounts with the data management system.
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