公开(公告)号：US20240005651A1

公开(公告)日：2024-01-04

申请号：US18135046

申请日：2023-04-14

申请人： Intuit Inc.

发明人： Miriam Hanna Manevitz ,  Aviv Ben Arie

IPC分类号： G06V10/82 ,  G06N3/045 ,  G06V10/774

CPC分类号： G06V10/82 ,  G06N3/045 ,  G06V10/774

摘要： A method includes training, using first real data objects, a generative adversarial network having a generator model and a discriminator model to create a trained generator model that generates realistic data, and training, using adversarial data objects and second real data objects, the discriminator model to output an authenticity binary class for the adversarial data objects and the second real data objects. The method further includes deploying the discriminator model to a production system. In the production system, the discriminator model outputs the authenticity binary class to a system classifier model.

公开(公告)号：US20210334748A1

公开(公告)日：2021-10-28

申请号：US16861157

申请日：2020-04-28

申请人： Intuit Inc.

发明人： Yair Horesh ,  Yehezkel Shraga Resheff ,  Adi Shalev ,  Shlomi Medalion ,  Elik Sror ,  Miriam Hanna Manevitz ,  Sigalit Bechler

IPC分类号： G06Q10/08 ,  G06N20/00

摘要： A method may include receiving, for a package, shipment details including attributes, obtaining, for a subset of the attributes, logistic preferences, applying the logistic preferences to the shipment details to obtain modified shipment details, training a classifier using shipment transactions each including values for the attributes and labeled with a vendor logistic service, generating, by applying the classifier to the modified shipment details, scores for vendor logistic services, and recommending a vendor logistic service from the vendor logistic services using the scores.

公开(公告)号：US11775922B2

公开(公告)日：2023-10-03

申请号：US16861157

申请日：2020-04-28

申请人： Intuit Inc.

发明人： Yair Horesh ,  Yehezkel Shraga Resheff ,  Adi Shalev ,  Shlomi Medalion ,  Elik Sror ,  Miriam Hanna Manevitz ,  Sigalit Bechler

IPC分类号： G06Q10/0834 ,  G06N20/00

CPC分类号： G06Q10/0834 ,  G06N20/00

摘要： A method may include receiving, for a package, shipment details including attributes, obtaining, for a subset of the attributes, logistic preferences, applying the logistic preferences to the shipment details to obtain modified shipment details, training a classifier using shipment transactions each including values for the attributes and labeled with a vendor logistic service, generating, by applying the classifier to the modified shipment details, scores for vendor logistic services, and recommending a vendor logistic service from the vendor logistic services using the scores.

公开(公告)号：US11620665B2

公开(公告)日：2023-04-04

申请号：US16837376

申请日：2020-04-01

申请人： Intuit Inc.

发明人： Elik Sror ,  Shiomi Medalion ,  Miriam Hanna Manevitz ,  Adi Shalev ,  Yair Horesh

IPC分类号： G06Q30/02 ,  G06Q30/0204

摘要： Systems and methods may be used to generate and use a merchant community graph generated based on merchant financial transaction data. Connections between merchants and other data within the merchant community graph can be used to detect fraud, target product offerings and or other advertisements, detect similar communities, generate dynamic attributes that may be used to develop machine learning models, and develop new user interfaces (UIs) and other features of an information service.

公开(公告)号：US11645836B1

公开(公告)日：2023-05-09

申请号：US17855699

申请日：2022-06-30

申请人： Intuit Inc.

发明人： Miriam Hanna Manevitz ,  Aviv Ben Arie

IPC分类号： G06V10/82 ,  G06V10/774 ,  G06N3/02 ,  G06N3/045

CPC分类号： G06V10/82 ,  G06N3/045 ,  G06V10/774

摘要： A method includes training, using first real data objects, a generative adversarial network having a generator model and a discriminator model to create a trained generator model that generates realistic data, and training, using adversarial data objects and second real data objects, the discriminator model to output an authenticity binary class for the adversarial data objects and the second real data objects. The method further includes deploying the discriminator model to a production system. In the production system, the discriminator model outputs the authenticity binary class to a system classifier model.

公开(公告)号：US20210334868A1

公开(公告)日：2021-10-28

申请号：US16859604

申请日：2020-04-27

申请人： Intuit Inc.

发明人： Yair Horesh ,  Yehezkel Shraga Resheff ,  Shlomi Medalion ,  Adi Shalev ,  Miriam Hanna Manevitz ,  Sigalit Bechler ,  Elik Sror

IPC分类号： G06Q30/06 ,  G06K9/62

摘要： A method may include generating, using a flow proportionalized graph, scores for platform sellers of an online platform. The flow proportionalized graph may include nodes corresponding to the platform sellers and buyers, and edges each connecting a buyer node corresponding to a buyer initiating a monetary transfer and a platform seller node corresponding to a platform seller receiving the monetary transfer. Each edge may have a weight that is a proportion of total monetary transfers by the buyer received by the platform seller. The method may further include matching, using the scores and a seller similarity metric, a non-platform seller with a platform seller, receiving a scenario for the platform seller to sell an item of the non-platform seller via the online platform, and generating a prediction regarding an outcome of the scenario by applying a model to scenarios.

公开(公告)号：US12118077B2

公开(公告)日：2024-10-15

申请号：US17154293

申请日：2021-01-21

申请人： Intuit Inc.

发明人： Miriam Hanna Manevitz ,  Liat Ben Porat Roda ,  Or Basson ,  Aviv Ben Arie ,  Hagai Fine

IPC分类号： H04L9/40 ,  G06F16/901 ,  G06F17/16 ,  G06F21/55

CPC分类号： G06F21/552 ,  G06F16/9027 ,  G06F17/16 ,  H04L63/1425 ,  G06F2221/034 ,  G06F2221/2101

摘要： A plurality of graph snapshots for a plurality of consecutive periodic time samples maps between connected components in consecutive graph snapshots and describes at least one feature of each connected component. A recursively-built tree tracks an evolution of one of the connected components through the plurality of graph snapshots, the tree including a root node representing the connected component at a final one of the consecutive periodic time samples and a plurality of leaf nodes branching from the root node. A plurality of paths is extracted from the tree by traversing the tree from the root node to respective ones of the plurality of leaf nodes. Each path contains data describing an evolution of a respective one of the connected components through time as indicated by evolution of the at least one feature of the respective one of the connected components. Each of the plurality of paths is converted into a respective numerical vector of a plurality of numerical vectors that may be used as inputs to a time series anomaly detection algorithm.

公开(公告)号：US12046027B2

公开(公告)日：2024-07-23

申请号：US18135046

申请日：2023-04-14

申请人： Intuit Inc.

发明人： Miriam Hanna Manevitz ,  Aviv Ben Arie

IPC分类号： G06V10/82 ,  G06N3/045 ,  G06N3/047 ,  G06N3/08 ,  G06N3/084 ,  G06N3/088 ,  G06V10/774

CPC分类号： G06V10/82 ,  G06N3/045 ,  G06V10/774

摘要： A method includes training, using first real data objects, a generative adversarial network having a generator model and a discriminator model to create a trained generator model that generates realistic data, and training, using adversarial data objects and second real data objects, the discriminator model to output an authenticity binary class for the adversarial data objects and the second real data objects. The method further includes deploying the discriminator model to a production system. In the production system, the discriminator model outputs the authenticity binary class to a system classifier model.

公开(公告)号：US20220229903A1

公开(公告)日：2022-07-21

申请号：US17154293

申请日：2021-01-21

申请人： Intuit Inc.

发明人： Miriam Hanna Manevitz ,  Liat Ben Porat Roda ,  Or Basson ,  Aviv Ben Arie ,  Hagai Fine

IPC分类号： G06F21/55 ,  G06F16/901 ,  G06F17/16

摘要： A plurality of graph snapshots for a plurality of consecutive periodic time samples maps between connected components in consecutive graph snapshots and describes at least one feature of each connected component. A recursively-built tree tracks an evolution of one of the connected components through the plurality of graph snapshots, the tree including a root node representing the connected component at a final one of the consecutive periodic time samples and a plurality of leaf nodes branching from the root node. A plurality of paths is extracted from the tree by traversing the tree from the root node to respective ones of the plurality of leaf nodes. Each path contains data describing an evolution of a respective one of the connected components through time as indicated by evolution of the at least one feature of the respective one of the connected components. Each of the plurality of paths is converted into a respective numerical vector of a plurality of numerical vectors that may be used as inputs to a time series anomaly detection algorithm.