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公开(公告)号：US12013962B1
公开(公告)日：2024-06-18
申请号：US16502757
申请日：2019-07-03
Applicant: Intuit Inc.
Inventor： Yonantan Ben-Simhon , Yair Horesh , Yehezkel Shraga Resheff , Noah Eyal Altman
CPC classification number: G06F21/6245 , G06F18/23213 , G06F21/31 , G06N20/00 , G06Q40/02
Abstract: An entry validation system executed by a processor, may compare an entry into a user interface (UI) field with at least one range of valid entries. The at least one range of valid entries may be generated by a machine learning (ML) system by clustering known valid data using a clustering algorithm producing a lowest number of clusters that absorbs all of the known valid data within the clusters. In response to the comparing, the entry validation system may provide a determination of validity or invalidity to an application displaying the UI field. The determination of validity may cause the entry to be processed by the application, and the determination of invalidity may cause the application to reject the entry.
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公开(公告)号：US11893351B2
公开(公告)日：2024-02-06
申请号：US17893153
申请日：2022-08-22
Applicant: Intuit Inc.
Inventor： Oren Sar Shalom , Yehezkel Shraga Resheff
IPC: G06F40/289 , G06F17/18 , G06N20/00
CPC classification number: G06F40/289 , G06F17/18 , G06N20/00
Abstract: A method including receiving, in a machine learning model (MLM), a corpus including words. The MLM includes layers configured to extract keywords from the corpus, plus a retrospective layer. A first keyword and a second keyword from the corpus are identified in the layers. The first and second keywords are assigned first and second probabilities. Each probability is a likelihood that a keyword is to be included in a key phrase. A determination is made, in the retrospective layer, of a first probability modifier that modifies the first probability based on a first dependence relationship between the second keyword being placed after the first keyword. The first probability is modified using the first probability modifier. The first modified probability is used to determine whether the first keyword and the second keyword together form the key phrase. The key phrase is stored in a non-transitory computer readable storage medium.
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公开(公告)号：US11816711B2
公开(公告)日：2023-11-14
申请号：US17810736
申请日：2022-07-05
Applicant: INTUIT INC.
Inventor： Yair Horesh , Yehezkel Shraga Resheff , Daniel Ben David
Abstract: A computer-implemented method and system are provided to utilize machine learning technology to process user financial transaction data to predict a personalized payment screen architecture. A plurality of feature datasets associated with transaction data of a plurality of electronic invoices are obtained by a computing device. Each feature dataset comprises a plurality of features, a payment screen and a payment method configured to be presented on at least one payment screen. The computing device is configured to train a machine learning model with the feature datasets to produce a probability matrix with probabilities of each payment method used to pay the invoices through each payment screen. The computing device may weigh the probability matrix to generate a recommendation matrix and determine a prediction of a payment screen based on the recommendation matrix.
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公开(公告)号：US11775922B2
公开(公告)日：2023-10-03
申请号：US16861157
申请日：2020-04-28
Applicant: Intuit Inc.
Inventor： Yair Horesh , Yehezkel Shraga Resheff , Adi Shalev , Shlomi Medalion , Elik Sror , Miriam Hanna Manevitz , Sigalit Bechler
IPC: G06Q10/0834 , G06N20/00
CPC classification number: G06Q10/0834 , G06N20/00
Abstract: 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.
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公开(公告)号：US11743030B2
公开(公告)日：2023-08-29
申请号：US17660623
申请日：2022-04-25
Applicant: INTUIT INC.
Inventor： Margarita Vald , Laetitia Kahn , Boaz Sapir , Yaron Sheffer , Yehezkel Shraga Resheff
CPC classification number: H04L9/008 , H04L9/0631 , H04L2209/08
Abstract: Systems and methods that may implement an Oracle-aided protocol for producing and using FHE encrypted data. The systems and methods may initially encrypt and store input data in one encrypted form that is not performed using FHE, which does not substantially increase the size of the data and storage resources required to store the encrypted data. In accordance with the Oracle-aided protocol, the encrypted data is re-encrypted as FHE encrypted data when FHE encrypted data is required.
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Patent Agency Ranking
公开(公告)号：US20220405476A1
公开(公告)日：2022-12-22
申请号：US17893153
申请日：2022-08-22
Applicant: Intuit Inc.
Inventor： Oren Sar Shalom , Yehezkel Shraga Resheff
IPC: G06F40/289 , G06F17/18 , G06N20/00
Abstract: A method including receiving, in a machine learning model (MLM), a corpus including words. The MLM includes layers configured to extract keywords from the corpus, plus a retrospective layer. A first keyword and a second keyword from the corpus are identified in the layers. The first and second keywords are assigned first and second probabilities. Each probability is a likelihood that a keyword is to be included in a key phrase. A determination is made, in the retrospective layer, of a first probability modifier that modifies the first probability based on a first dependence relationship between the second keyword being placed after the first keyword. The first probability is modified using the first probability modifier. The first modified probability is used to determine whether the first keyword and the second keyword together form the key phrase. The key phrase is stored in a non-transitory computer readable storage medium.
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公开(公告)号：US20220375001A1
公开(公告)日：2022-11-24
申请号：US17815552
申请日：2022-07-27
Applicant: INTUIT INC.
Inventor： Yonatan Ben-Simhon , Liron Hayman , Yair Horesh , Yehezkel Shraga Resheff
Abstract: A computer-implemented method is provided to preforming re-categorization of financial transactions. The re-categorization is implemented by a server computing device which receives the financial transactions associated with a merchant and a first category. The server computing device receives user inputs that are each associated with re-categorizing a financial transaction from the first category to one or more other categories. Based at least in part on a count of the first category and counts of the one or more other categories, the server computing device determines a set of normalized ratios for the first category and the one or more other categories with respect to a total number of respective financial transactions received. The server computing device determines a second category corresponding to a minimum value in the set of the normalized ratios for each financial transaction associated with the merchant.
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公开(公告)号：US11244009B2
公开(公告)日：2022-02-08
申请号：US16779701
申请日：2020-02-03
Applicant: Intuit Inc.
Inventor： Yair Horesh , Yehezkel Shraga Resheff , Oren Sar Shalom , Alexander Zhicharevich
IPC: G06F17/00 , G06F16/903 , G06F16/93 , G06N20/00
Abstract: Automatic keyphrase labeling and machine learning training may include a processor extracting a plurality of keywords from at least one search query that resulted in a selection of a document appearing in a search result. For each of the plurality of keywords, the processor may determine a probability that the keyword describes the document. The processor may generate one or more keyphrases by performing processing including selecting each of the plurality of keywords having a probability greater than a predetermined threshold value for insertion into at least one of the one or more keyphrases and assembling the one or more keyphrases from the selected plurality of keywords. The processor may label the document with the keyphrase.
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公开(公告)号：US10984193B1
公开(公告)日：2021-04-20
申请号：US16736874
申请日：2020-01-08
Applicant: Intuit Inc.
Inventor： Adi Shalev , Yair Horesh , Yehezkel Shraga Resheff , Oren Sar Shalom , Alexander Zhicharevich
IPC: G06F40/279 , G06F17/18 , G06N20/10
Abstract: A processor may generate a plurality of vectors from an original text by processing the original text with at least one unsupervised learning algorithm. Each of the plurality of vectors may correspond to a separate portion of a plurality of portions of the original text. The processor may determine respective segments to which respective vectors belong. The processor may minimize a distance between at least one vector belonging to the segment and a known vector from among one or more known vectors and applying a label of the known vector to the segment.
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公开(公告)号：US11934439B1
公开(公告)日：2024-03-19
申请号：US18114943
申请日：2023-02-27
Applicant: Intuit Inc.
Inventor： Yair Horesh , Yehezkel Shraga Resheff , Shlomi Medalion , Liron Hayman
IPC: G06F16/00 , G06F16/31 , G06F16/35 , G06F40/205
CPC classification number: G06F16/358 , G06F16/31 , G06F40/205
Abstract: Methods, computer systems and computer program product are provided for retrieving contextually relevant documents in near real time. When text data it's received from an application, the text data is processed through a text segmentation model to generate a set of documents. Each document corresponds to a segment of the text data. A first vector representation is generated for a first document of the set of documents. A machine learning process compares the first vector representation and a set of vector representations for a set of documents within a data repository to determine a subset of the documents. A composite rank is generated for each respective document of the subset. The subset of documents is then presented through an interface, sorted according to the respective composite ranks.
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