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公开(公告)号：US20210306136A1
公开(公告)日：2021-09-30
申请号：US16836875
申请日：2020-03-31
申请人： Intuit Inc.
摘要： Systems and methods for validating credentials are disclosed. One example method, performed by one or more processors of a computing device associated with a neural network, includes training the neural network to infer validity information for encrypted credentials received from a credential source, wherein the validity information is inferred without decrypting the encrypted credentials, receiving a first encrypted credential from the credential source, generating an encrypted validity indicator for the first encrypted credential based on the validity information inferred by the neural network, and providing the encrypted validity indicator to the credential source.
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公开(公告)号：US20210304747A1
公开(公告)日：2021-09-30
申请号：US16836886
申请日：2020-03-31
申请人： Intuit Inc.
发明人： Noa Haas , Alexander Zicharevich , Oren Sar Shalom , Adi Shalev
摘要： Systems and methods for automatically identifying problem-relevant sentences in a transcript are disclosed. In an example method, a transcript may be received of a first support call. A region of the first support call transcript may be identified, and first customer utterances may be detected in the region using a trained classification model. A trained regression model may estimate a relevancy to the problem statement of each of the first customer utterances, and one or more most problem-relevant statements may be selected from the first customer utterances, based on the estimated relevancies.
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公开(公告)号：US11546133B2
公开(公告)日：2023-01-03
申请号：US16836875
申请日：2020-03-31
申请人： Intuit Inc.
摘要： Systems and methods for validating credentials are disclosed. One example method, performed by one or more processors of a computing device associated with a neural network, includes training the neural network to infer validity information for encrypted credentials received from a credential source, wherein the validity information is inferred without decrypting the encrypted credentials, receiving a first encrypted credential from the credential source, generating an encrypted validity indicator for the first encrypted credential based on the validity information inferred by the neural network, and providing the encrypted validity indicator to the credential source.
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公开(公告)号：US11423900B2
公开(公告)日：2022-08-23
申请号：US16836886
申请日：2020-03-31
申请人： Intuit Inc.
发明人： Noa Haas , Alexander Zicharevich , Oren Sar Shalom , Adi Shalev
摘要： Systems and methods for automatically identifying problem-relevant sentences in a transcript are disclosed. In an example method, a transcript may be received of a first support call. A region of the first support call transcript may be identified, and first customer utterances may be detected in the region using a trained classification model. A trained regression model may estimate a relevancy to the problem statement of each of the first customer utterances, and one or more most problem-relevant statements may be selected from the first customer utterances, based on the estimated relevancies.
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公开(公告)号：US20210182877A1
公开(公告)日：2021-06-17
申请号：US16710973
申请日：2019-12-11
申请人： Intuit Inc.
发明人： Yair Horesh , Onn Bar , Oren Sar Shalom , Daniel Ben David , Alexander Zicharevich , Talia Tron
摘要： The business segment associated with a merchant is automatically and accurately determined by applying machine learning techniques to actual financial documents associated with a merchant. In some examples, once the business segment associated with a merchant user of a data management system is identified, this information is used to identify potentially fraudulent and/or other criminal activity such as fraudulent merchants, criminal financial transactions, and fraudulent invoices.
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