Patents by Inventor Ido Meir Mintz

Ido Meir Mintz has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11914704
    Abstract: Certain embodiments of the present disclosure provide techniques for identifying and blocking anomalous transactions within a computing system. An example method generally includes selecting a set of accounts for analysis. For each respective account, an anomaly score is calculated based on an account number associated with the respective account and transaction amounts associated with the respective account. An aggregated anomaly score is generated for each respective account provider of a plurality of account providers based on the anomaly score associated with each respective account. The aggregated anomaly score for each respective account provider is normalized based on a historical minimum and historical maximum anomaly score for the respective account provider. One or more account providers that are potential targets of anomalous activity are identified.
    Type: Grant
    Filed: January 7, 2021
    Date of Patent: February 27, 2024
    Assignee: INTUIT INC.
    Inventors: Sheer Dangoor, Ido Meir Mintz
  • Publication number: 20240028973
    Abstract: A method including training, using training data including a first ontological hierarchical level, trained machine learning models (MLMs) to predict a first output type including a second ontological hierarchical level different than the first ontological hierarchical level. The method also includes generating instances of the first output type by executing the trained MLMs on unknown data including the first ontological hierarchical level. Outputs of the trained MLMs include the instances at the second ontological hierarchical level. The method also includes training, using the instances, a voting classifier MLM to predict a selected instance from the instances. The voting classifier MLM is trained to predict the selected instance to satisfy a criterion including a third ontological hierarchical level different than the first ontological hierarchal level and the second ontological hierarchical level.
    Type: Application
    Filed: July 20, 2022
    Publication date: January 25, 2024
    Applicant: INTUIT INC.
    Inventors: Sheer DANGOOR, Daniel BEN DAVID, Ido Meir MINTZ, Alexander ZHICHAREVICH, Lior TABORI
  • Publication number: 20230368169
    Abstract: Systems and methods of optimizing cash flow are disclosed. A system obtains bill information regarding a plurality of bills and invoice information regarding a plurality of invoices, and the system pairs one or more bills to one or more invoices. Pairing the one or more bills includes, for each bill, generating one or more potential pairs of the bill to an invoice. For each potential pair, the system calculates a matching score associated with the potential pair based on the bill information of the bill and the invoice information of the invoice, identifies a subset of potential pairs of the one or more potential pairs associated with a threshold matching score, and selects a pair of a paired invoice to the bill from the subset of potential pairs. The system generates instructions to automatically pay the one or more bills, with payment scheduled based on the pairings.
    Type: Application
    Filed: May 11, 2022
    Publication date: November 16, 2023
    Applicant: Intuit Inc.
    Inventors: Alexander ZICHAREVICH, Ido Meir MINTZ, Yair HORESH
  • Publication number: 20230129557
    Abstract: A processor may receive a request to display a user interface (UI) for a user account. The processor may determine a context for the UI from information specific to the user account. The processor may select one of a plurality of UI elements based on the determining. In some embodiments, the selecting may include evaluating a value function taking the information specific to the user account and information about the context as inputs. The processor may cause the UI including the selected one of the plurality of UI elements to be displayed in response to the request.
    Type: Application
    Filed: October 27, 2021
    Publication date: April 27, 2023
    Applicant: INTUIT INC.
    Inventors: Sheer DANGOOR, Ido Meir MINTZ, Daniel Ben DAVID, Alexander ZHICHAREVICH
  • Publication number: 20230022268
    Abstract: Certain aspects of the present disclosure provide techniques for updating a policy of an agent, including receiving a first transaction file associated with an entity; predicting, by the agent, an expected reward for each respective string of a plurality of strings associated with the first transaction file based on a policy of the agent, wherein the policy is determined based on a context comprising at least an attribute of the entity; determining a first string based on a highest expected reward; providing, to an environment, the first string; receiving a response to the first string, wherein the response comprises an actual reward; and updating the policy of the agent based on the response to the first string.
    Type: Application
    Filed: July 23, 2021
    Publication date: January 26, 2023
    Inventors: Daniel BEN DAVID, Sheer DANGOOR, Ido Meir MINTZ, Danny ZACH
  • Patent number: 11546133
    Abstract: 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.
    Type: Grant
    Filed: March 31, 2020
    Date of Patent: January 3, 2023
    Assignee: Intuit Inc.
    Inventors: Shlomi Medalion, Alexander Zicharevich, Yehezkel Shraga Resheff, Ido Meir Mintz
  • Patent number: 11494422
    Abstract: A processor may receive a plurality of text samples generated by a user and identify at least one variable text element in at least one of the plurality of text samples. The processor may tokenize the at least one variable text element, thereby producing a plurality of tokenized text samples including at least one token. The processor may build a longest common substring from the plurality of tokenized text samples and add the longest common substring and the at least one token to a set of selectable user interface options specific to the user. The processor may generate a user interface comprising the set of selectable user interface options. This can include detecting a user interface context and automatically replacing the at least one token with information specific to the user interface context within the set of selectable user interface options.
    Type: Grant
    Filed: June 28, 2022
    Date of Patent: November 8, 2022
    Assignee: INTUIT INC.
    Inventors: Aviv Ben Arie, Omer Zalmanson, Ido Meir Mintz, Yair Horesh
  • Publication number: 20220215091
    Abstract: Certain embodiments of the present disclosure provide techniques for identifying and blocking anomalous transactions within a computing system. An example method generally includes selecting a set of accounts for analysis. For each respective account, an anomaly score is calculated based on an account number associated with the respective account and transaction amounts associated with the respective account. An aggregated anomaly score is generated for each respective account provider of a plurality of account providers based on the anomaly score associated with each respective account. The aggregated anomaly score for each respective account provider is normalized based on a historical minimum and historical maximum anomaly score for the respective account provider. One or more account providers that are potential targets of anomalous activity are identified.
    Type: Application
    Filed: January 7, 2021
    Publication date: July 7, 2022
    Inventors: Sheer DANGOOR, Ido Meir MINTZ
  • Publication number: 20220215293
    Abstract: Certain aspects of the present disclosure provide techniques for identifying incorrect account numbers using machine learning. One example method includes receiving, over a network from a user device, a transaction including an account number and providing the account number to a machine learning model. The method further includes obtaining output from the machine learning model including a confidence score for the account number and transmitting, over the network to the user device, the confidence score. The method further includes receiving, over the network from the user device, a response to transmitting the confidence score and processing the transaction based on the response. The method further includes updating a transaction database based on success or failure of the transaction.
    Type: Application
    Filed: March 23, 2022
    Publication date: July 7, 2022
    Inventors: Tom JACOBE, Ori WAINSHTEIN, Ido Meir MINTZ
  • Publication number: 20220215292
    Abstract: Certain aspects of the present disclosure provide techniques for identifying incorrect account numbers using machine learning. One example method includes receiving, over a network from a user device, a transaction including an account number and providing the account number to a machine learning model. The method further includes obtaining output from the machine learning model including a confidence score for the account number and transmitting, over the network to the user device, the confidence score. The method further includes receiving, over the network from the user device, a response to transmitting the confidence score and processing the transaction based on the response. The method further includes updating a transaction database based on success or failure of the transaction.
    Type: Application
    Filed: March 23, 2022
    Publication date: July 7, 2022
    Inventors: Tom JACOBE, Ori WAINSHTEIN, Ido Meir MINTZ
  • Patent number: 11182436
    Abstract: Certain aspects of the present disclosure provide techniques for predicting a location based on transaction record data. An example technique includes obtaining a first set of transaction records and determining a merchant associated with each transaction record. The example further includes based on the merchant, determining and appending a branch identifier to each transaction record associated with the merchant to generate a first set of extended transaction records. The example further includes creating a consumption graph based on the first set of extended transaction records and determining an estimated location based on the consumption graph. The example further includes determining a precise point location based on the estimated location.
    Type: Grant
    Filed: April 30, 2020
    Date of Patent: November 23, 2021
    Assignee: INTUIT INC.
    Inventors: Yehezkel S. Resheff, Shimon Shahar, Ido Meir Mintz, Yair Horesh
  • Publication number: 20210306136
    Abstract: 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.
    Type: Application
    Filed: March 31, 2020
    Publication date: September 30, 2021
    Applicant: Intuit Inc.
    Inventors: Shlomi Medalion, Alexander Zicharevich, Yehezkel Shraga Resheff, Ido Meir Mintz
  • Publication number: 20210182803
    Abstract: A method may include extracting, from a transaction, a routing transit number (RTN) and an account number, embedding the RTN to obtain an RTN vector, embedding the account number to obtain an account number matrix, combining, using a trained machine learning model, the RTN vector and the account number matrix to obtain a combined matrix, and classifying the account number as invalid. The classifying may include applying the trained machine learning model to the combined matrix.
    Type: Application
    Filed: December 12, 2019
    Publication date: June 17, 2021
    Applicant: Intuit Inc.
    Inventors: Ido Meir Mintz, Alexander Zhicharevich, Shlomi Medalion, Tom Jacobe
  • Publication number: 20200257729
    Abstract: Certain aspects of the present disclosure provide techniques for predicting a location based on transaction record data. An example technique includes obtaining a first set of transaction records and determining a merchant associated with each transaction record. The example further includes based on the merchant, determining and appending a branch identifier to each transaction record associated with the merchant to generate a first set of extended transaction records. The example further includes creating a consumption graph based on the first set of extended transaction records and determining an estimated location based on the consumption graph. The example further includes determining a precise point location based on the estimated location.
    Type: Application
    Filed: April 30, 2020
    Publication date: August 13, 2020
    Inventors: Yehezkel S. RESHEFF, Shimon SHAHAR, Ido Meir MINTZ, Yair HORESH
  • Patent number: 10678865
    Abstract: Certain aspects of the present disclosure provide techniques for predicting a location based on transaction record data. An example technique includes obtaining a first set of transaction records and determining a merchant associated with each transaction record. The example further includes based on the merchant, determining and appending a branch identifier to each transaction record associated with the merchant to generate a first set of extended transaction records. The example further includes creating a consumption graph based on the first set of extended transaction records and determining an estimated location based on the consumption graph. The example further includes determining a precise point location based on the estimated location.
    Type: Grant
    Filed: June 20, 2018
    Date of Patent: June 9, 2020
    Assignee: INTUIT INC.
    Inventors: Yehezkel S. Resheff, Shimon Shahar, Ido Meir Mintz, Yair Horesh