公开(公告)号：US20220172712A1

公开(公告)日：2022-06-02

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 ,  G06N3/04 ,  G10L15/16 ,  G10L15/06 ,  G10L15/197 ,  G10L15/22

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：US11347947B2

公开(公告)日：2022-05-31

申请号：US16938311

申请日：2020-07-24

Applicant: Intuit Inc.

Inventor： Alexander Zhicharevich ,  Noa Haas ,  Oren Sar Shalom

IPC: G06F40/30 ,  G06N3/04 ,  G06F40/289 ,  G06N3/08

Abstract: Operating an encoder with double decoder machine learning models include executing, on a transcript, an encoder machine learning model to generate an encoder output, and executing a situation decoder machine learning model on the encoder output to obtain a situation model output having a situation identifier, and executing a trouble decoder machine learning model using the encoder output to obtain a trouble identifier. The method further includes outputting the situation identifier and the trouble identifier.

公开(公告)号：US20220027975A1

公开(公告)日：2022-01-27

申请号：US16940087

申请日：2020-07-27

Applicant: Intuit Inc.

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

IPC: G06Q30/06 ,  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：US20210192136A1

公开(公告)日：2021-06-24

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: G06F40/289 ,  G06N3/08 ,  G06N20/10 ,  G06K9/62 ,  G06F16/332 ,  G06F16/33

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：US11822891B2

公开(公告)日：2023-11-21

申请号：US18180089

申请日：2023-03-07

Applicant: INTUIT INC.

Inventor： Rami Cohen ,  Noa Haas ,  Oren Sar Shalom ,  Alexander Zhicharevich

IPC: G06F40/30 ,  H04M3/51 ,  G10L15/26 ,  G06N20/20

CPC classification number: G06F40/30 ,  G06N20/20 ,  G10L15/26 ,  H04M3/5175

Abstract: A computing system identifies an incoming voice call from a user device to an agent device associated with the computing system. The computing system generates a transcription of the incoming voice call using one or more natural language processing techniques. The computing system extracts a problem description from the transcription. The problem description indicates a topic for the incoming voice call. A first machine learning model estimates a situation vector from the problem description. A second machine learning model identifies a pre-existing situation vector that closely matches the estimated situation vector. The computing system retrieves a situation description that corresponds to the identified pre-existing situation vector.

公开(公告)号：US11687612B2

公开(公告)日：2023-06-27

申请号：US17531530

申请日：2021-11-19

Applicant: Intuit Inc.

Inventor： Elik Sror ,  Oren Sar Shalom ,  Rami Cohen

IPC: G06F16/957 ,  G06F17/16 ,  G06N3/08 ,  G06F12/06 ,  G06F12/02 ,  G06F12/0895

CPC classification number: G06F16/9574 ,  G06F17/16 ,  G06N3/08 ,  G06F12/0238 ,  G06F12/0692 ,  G06F12/0895

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 the content vector, a link to a cold start page that does not satisfy a threshold level of interaction data. The selected link is ranked 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：US11625541B2

公开(公告)日：2023-04-11

申请号：US17242231

申请日：2021-04-27

Applicant: INTUIT INC.

Inventor： Rami Cohen ,  Noa Haas ,  Oren Sar Shalom ,  Alexander Zhicharevich

IPC: G06F40/30 ,  H04M3/51 ,  G10L15/26 ,  G06N20/20

Abstract: A computing system identifies an incoming voice call from a user device to an agent device associated with the computing system. The computing system generates a transcription of the incoming voice call using one or more natural language processing techniques. The computing system extracts a problem description from the transcription. The problem description indicates a topic for the incoming voice call. A first machine learning model estimates a situation vector from the problem description. A second machine learning model identifies a pre-existing situation vector that closely matches the estimated situation vector. The computing system retrieves a situation description that corresponds to the identified pre-existing situation vector.

公开(公告)号：US11436413B2

公开(公告)日：2022-09-06

申请号：US16805688

申请日：2020-02-28

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.

公开(公告)号：US20220075840A1

公开(公告)日：2022-03-10

申请号：US17531530

申请日：2021-11-19

Applicant: Intuit Inc.

Inventor： Elik Sror ,  Oren Sar Shalom ,  Rami Cohen

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

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 the content vector, a link to a cold start page that does not satisfy a threshold level of interaction data. The selected link is ranked 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：US20220027563A1

公开(公告)日：2022-01-27

申请号：US16938311

申请日：2020-07-24

Applicant: Intuit Inc.

Inventor： Alexander Zhicharevich ,  Noa Haas ,  Oren Sar Shalom

IPC: G06F40/30 ,  G06N3/04 ,  G06N3/08 ,  G06F40/289

Abstract: Operating an encoder with double decoder machine learning models include executing, on a transcript, an encoder machine learning model to generate an encoder output, and executing a situation decoder machine learning model on the encoder output to obtain a situation model output having a situation identifier, and executing a trouble decoder machine learning model using the encoder output to obtain a trouble identifier. The method further includes outputting the situation identifier and the trouble identifier.