公开(公告)号：US11893608B2

公开(公告)日：2024-02-06

申请号：US16818268

申请日：2020-03-13

Applicant: Intuit Inc.

Inventor： Shlomi Medalion ,  Yair Horesh ,  Yehezkel Shraga Resheff ,  Sigalit Bechler ,  Oren Sar Shalom ,  Daniel Ben David

IPC: G06Q30/0282 ,  G06Q30/0202 ,  G06F40/30 ,  G06F18/23 ,  G06F17/16 ,  G06N3/084 ,  G06F18/214

CPC classification number: G06Q30/0282 ,  G06F17/16 ,  G06F18/2148 ,  G06F18/23 ,  G06F40/30 ,  G06N3/084 ,  G06Q30/0202

Abstract: A method may be used to predict a business' category by analyzing the business' vendors. A neural network architecture may be trained via supervised learning to predict categories for businesses based on listed vendors. The neural network may be used to classify uncategorized businesses within an accounting software database. A list of factors associated with a business' success may be generated by analyzing, aggregating and ranking factors determined to be relevant to a business based on its categorization. The factors associated with the business' success may be related to the products and/or services offered by the business and the format of which those products and/or services are offered by the business. The factors may also be related to the products and/or services purchased by the business from a vendor and the format of which those products and/or services are purchased from the vendor.

公开(公告)号：US11423900B2

公开(公告)日：2022-08-23

申请号：US16836886

申请日：2020-03-31

Applicant: Intuit Inc.

Inventor： Noa Haas ,  Alexander Zicharevich ,  Oren Sar Shalom ,  Adi Shalev

IPC: G10L15/22 ,  G06N20/00 ,  G10L15/06 ,  G10L15/08 ,  G10L15/30

Abstract: 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.

公开(公告)号：US20210271818A1

公开(公告)日：2021-09-02

申请号：US16805688

申请日：2020-02-28

Applicant: Intuit Inc.

Inventor： Oren Sar Shalom ,  Yehezkel Shraga Resheff

IPC: G06F40/289 ,  G06N20/00 ,  G06F17/18

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.

公开(公告)号：US20210182877A1

公开(公告)日：2021-06-17

申请号：US16710973

申请日：2019-12-11

Applicant: Intuit Inc.

Inventor： Yair Horesh ,  Onn Bar ,  Oren Sar Shalom ,  Daniel Ben David ,  Alexander Zicharevich ,  Talia Tron

IPC: G06Q30/02 ,  G06N20/00 ,  G06Q40/02

Abstract: 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.

公开(公告)号：US20210165848A1

公开(公告)日：2021-06-03

申请号：US16699545

申请日：2019-11-29

Applicant: Intuit Inc.

Inventor： Elik Sror ,  Oren Sar Shalom ,  Rami Cohen

IPC: G06F16/957 ,  G06N3/08 ,  G06F17/16

Abstract: A method for mitigating cold starts in recommendations includes receiving a request that identifies a requested page and identifying a content vector of the requested page. The content vector is generated based on providing text of the requested page to a neural network text encoder. The method further includes selecting, based on a rank engine and the content vector, a link to a cold start page that does not satisfy a threshold level of interaction data. The rank engine ranks the selected link above a second link to a warm page that does satisfy the threshold level of the interaction data. The method further includes presenting the requested page with the selected link.

公开(公告)号：US11875116B2

公开(公告)日：2024-01-16

申请号：US16723991

申请日：2019-12-20

Applicant: Intuit Inc.

Inventor： Oren Sar Shalom ,  Alexander Zhicharevich ,  Adi Shalev ,  Yehezkel Shraga Resheff

IPC: G06F40/284 ,  G06F40/289 ,  G06F40/30 ,  G06N3/08 ,  G06N20/10 ,  G06F16/33 ,  G06F16/332

CPC classification number: G06F40/30 ,  G06F16/3329 ,  G06F16/3334 ,  G06F16/3344 ,  G06F40/289 ,  G06N3/08 ,  G06N20/10

Abstract: A method including inputting, into a phrase recognition model comprising a neural network, a vector comprising a plurality of ngrams of text. The method also includes applying, using the phrase recognition model, a filter to the plurality of ngrams during execution. The filter has a skip word setting of at least one. The method also includes determining, based on the skip word setting, at least one ngram in the vector to be skipped to form at least one skip word. The method also includes outputting an intermediate score for a set of ngrams that match the filter. The method also includes calculating a scalar number representing a semantic meaning of the at least one skip word. The method also includes generating based on the scalar number and the intermediate score, a final score for the set of ngrams. A computer action is performed using the final score.

公开(公告)号：US11727058B2

公开(公告)日：2023-08-15

申请号：US16573619

申请日：2019-09-17

Applicant: Intuit Inc.

Inventor： Oren Sar Shalom ,  Alexander Zhicharevich ,  Rami Cohen ,  Yonatan Ben-Simhon

IPC: G06F16/901 ,  G06F16/953

CPC classification number: G06F16/9024 ,  G06F16/953

Abstract: A method involves receiving search queries, having search terms, submitted to at least one computerized search engine. For each query, a corresponding pairwise relation in the search queries is calculated. The corresponding pairwise relation is a corresponding probability of a potential edge relationship between at least two terms. Thus, potential edges are formed. A general graph of the terms is constructed by selecting edges from the potential edges. The general graph is nodes representing the terms used in the search queries. The general graph also is edges representing semantic relationships among the nodes. A hierarchical graph is constructed from the general graph by altering at least one of the edges among the nodes in the general graph to form the hierarchical graph.

公开(公告)号：US11688393B2

公开(公告)日：2023-06-27

申请号：US17565717

申请日：2021-12-30

Applicant: Intuit Inc.

Inventor： Shlomi Medalion ,  Alexander Zhicharevich ,  Yair Horesh ,  Oren Sar Shalom ,  Elik Sror ,  Adi Shalev

IPC: G10L15/18 ,  G06N3/08 ,  G10L15/16 ,  G10L15/06 ,  G10L15/197 ,  G10L15/22 ,  G06N3/045

CPC classification number: G10L15/1815 ,  G06N3/045 ,  G06N3/08 ,  G10L15/063 ,  G10L15/16 ,  G10L15/197 ,  G10L15/22 ,  G10L2015/223

Abstract: A method including embedding, by a trained issue MLM (machine learning model), a new natural language issue statement into an issue vector. An inner product of the issue vector with an actions matrix is calculated. The actions matrix includes centroid-vectors calculated using a clustering method from a second output of a trained action MLM which embedded prior actions expressed in natural language action statements taken as a result of prior natural issue statements. Calculating the inner product results in probabilities associated with the prior actions. Each of the probabilities represents a corresponding estimate that a corresponding prior action is relevant to the issue vector. A list of proposed actions relevant to the issue vector is generated by comparing the probabilities to a threshold value and selecting a subset of the prior actions with corresponding probabilities above the threshold. The list of proposed actions is transmitted to a user device.

公开(公告)号：US11551282B2

公开(公告)日：2023-01-10

申请号：US16940087

申请日：2020-07-27

Applicant: Intuit Inc.

Inventor： Shlomi Medalion ,  Sigalit Bechler ,  Oren Sar Shalom ,  Guy Maman

IPC: G06Q30/00 ,  G06Q30/06 ,  G06F16/9536

Abstract: This disclosure provides systems, methods and apparatuses for recommending items to users of a recommendation system. In some implementations, the recommendation system determines a plurality of contribution values based on interactions between a plurality of users and a plurality of items. Each of the plurality of contribution values represents a confidence level that a respective user prefers a respective item. The recommendation system further determines a capacity of each of the plurality of items. The capacity of each item represents a maximum number of users to which the item can be recommended. The recommendation system recommends one or more items of the plurality of items to each of the plurality of users based at least in part on the plurality of contribution values and the capacities of the plurality of items.

公开(公告)号：US11379611B1

公开(公告)日：2022-07-05

申请号：US16522356

申请日：2019-07-25

Applicant: INTUIT INC.

Inventor： Yair Horesh ,  Yehezkel S. Resheff ,  Shimon Shahar ,  Oren Sar Shalom

IPC: G06F21/62 ,  H04L9/08 ,  H04L9/40 ,  H04L9/00

Abstract: Certain aspects of the present disclosure provide techniques for privacy-preserving execution of a workflow in a software application. Embodiments include generally includes receiving homomorphically encrypted inputs from a client device corresponding to user-provided data needed to calculate a result for a step of a workflow in the software application. A result is calculated for the step of the workflow using the received homomorphically encrypted inputs. The calculated result is returned to the client device. The calculated result is homomorphically encrypted as a result of calculating the result using the received homomorphically encrypted inputs.