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公开(公告)号:US20230208975A1
公开(公告)日:2023-06-29
申请号:US18178425
申请日:2023-03-03
Applicant: INTUIT INC.
Inventor: Prarit LAMBA , Clifford GREEN
CPC classification number: H04M3/5233 , G06F40/20 , H04M3/5191 , H04M3/5235 , H04M3/5238 , G06V30/40 , G06F18/214 , G06F18/2178
Abstract: Systems and methods are used to generate contact type predictions that route user customer service requests within a support platform. The contact type predictions are generated using a hybrid model that includes a deep learning component and a business logic component. The deep learning component may generate a multi-channel output based on text features and context features. The multi-channel output is modified based on one or more business rules to generate the contact type predictions.
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112.
公开(公告)号:US20230205987A1
公开(公告)日:2023-06-29
申请号:US18177009
申请日:2023-03-01
Applicant: INTUIT INC.
IPC: G06F40/20 , G06N20/00 , G06V30/414 , G06V30/416 , G06F18/214 , G06V30/19 , G06V10/764 , G06V10/82 , G06V10/84 , G06V30/413
CPC classification number: G06F40/20 , G06N20/00 , G06V30/414 , G06V30/416 , G06F18/214 , G06V30/19147 , G06V30/1916 , G06V10/764 , G06V10/82 , G06V10/84 , G06V30/413
Abstract: A document extraction system executed by a processor, may process documents using manual and automated systems. The document extraction system may efficiently route tasks to the manual and automated systems based on a predicted probability that the results generated by the automated system meet some baseline level of accuracy. To increase document processing speed, documents having a high likelihood of accurate automated processing may be routed to an automated system. To ensure a baseline level of accuracy, documents having a smaller likelihood of accurate automated processing may be routed to a manual system.
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113.
公开(公告)号:US11687721B2
公开(公告)日:2023-06-27
申请号:US17380881
申请日:2021-07-20
Applicant: Intuit Inc.
Inventor: Conrad De Peuter , Karpaga Ganesh Patchirajan , Saikat Mukherjee
IPC: G06F40/295 , G10L15/22 , G06F16/35 , G06N20/00 , G06F16/33
CPC classification number: G06F40/295 , G06F16/3344 , G06F16/3347 , G06F16/35 , G06N20/00
Abstract: Systems and methods for recognizing domain specific named entities are disclosed. An example method may be performed by one or more processors of a text incorporation system and include extracting a number of terms from a text under consideration, identifying, among the number of terms, a set of unmatched terms that do not match any of a plurality of known terms, passing each respective unmatched term to a vectorization module, embedding a vectorized version of each respective unmatched term in a vector space, comparing each vectorized version to known term vectors, passing, to a machine learning model, candidate terms corresponding to known term vectors closest to the vectorized versions, identifying, using the machine learning model, a best candidate term for each respective unmatched term, mapping the best candidate terms to unmatched terms in the text under consideration, and incorporating the text under consideration into the system based on the mappings.
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公开(公告)号:US20230195476A1
公开(公告)日:2023-06-22
申请号:US17552629
申请日:2021-12-16
Applicant: Intuit Inc.
Inventor: Prateek Anand
Abstract: A method implements last mile churn prediction. The method includes retrieving data during a user session in response to a trigger. The data includes a list of screen identifiers and a corresponding list of timestamps. The method further includes converting the list of timestamps to a list of time deltas. The list of time deltas includes a time delta that identifies an amount of time between two timestamps of the list of timestamps. The method further includes generating a churn risk from the list of screen identifiers and the list of time deltas. The churn risk identifies a probability that the user session will be terminated. The method further includes transmitting an intervention to intervene in the user session based on the churn risk.
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公开(公告)号:US20230185934A1
公开(公告)日:2023-06-15
申请号:US17644107
申请日:2021-12-14
Applicant: INTUIT INC.
Inventor: Michael J. SEILNACHT , Sirish V. VEPA , Richard Lee SLATER , Cody Allyn EDGINGTON
IPC: G06F21/62 , G06F21/60 , G06V30/412 , G06F16/93
CPC classification number: G06F21/6209 , G06F21/602 , G06F21/6245 , G06V30/412 , G06F16/93 , G06F2221/2141
Abstract: Aspects of the present disclosure provide techniques for rule-based document security. Embodiments include receiving, from a computing device: an amended document; an encrypted sensitive component; and information relating to reconstructing a document based on the amended document and the encrypted sensitive component. Embodiments include decrypting the encrypted sensitive component to produce a decrypted sensitive component. Embodiments include determining, based on the information relating to reconstructing the document, a document location that corresponds to the decrypted sensitive component. Embodiments include reconstructing the document by inserting the decrypted sensitive component into the amended document at the document location.
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公开(公告)号:US20230179541A1
公开(公告)日:2023-06-08
申请号:US17544467
申请日:2021-12-07
Applicant: Intuit Inc.
Inventor: Brett WEAVER , Edward LEE , Thomas C. BISHOP , Jerome M. KUPTZ , Mukulika KAPAS , Ameen RADWAN , Gennadiy ZISKIND , Grant L. HOFFMAN
IPC: H04L47/70 , H04L41/0813
CPC classification number: H04L47/82 , H04L41/0813
Abstract: Systems and methods for synchronizing cloud resources are disclosed. An example method may include receiving a first request to synchronize first target cloud resources to a first specified state defined in a configuration repository, generating one or more first configuration commands corresponding to the first request, the one or more first configuration commands associated with a first cloud provider and a first cloud configuration framework, and executing the one or more first configuration commands to set a state of the first target cloud resources to the first specified state.
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公开(公告)号:US11663507B2
公开(公告)日:2023-05-30
申请号:US17364857
申请日:2021-06-30
Applicant: Intuit Inc.
Inventor: Vignesh Thirukazhukundram Subramaniam , Shrutendra Harsola , Vikas Raturi , Naveen Kumar Kaveti
IPC: G06F17/00 , G06N5/04 , G06F40/274 , G06Q30/0201 , G06N20/00
CPC classification number: G06N5/04 , G06F40/274 , G06N20/00 , G06Q30/0201
Abstract: A method predicts custom fields from text. Transaction text is normalized from transaction data to generate normalized text. A field prediction and a type prediction are selected using prediction data and the normalized text. The prediction data is generated using a machine learning model trained to identify field predictions from free form text. The field prediction and the type prediction are presented to a client device. In response to user input from the client device, the transaction data is updated with the field prediction.
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公开(公告)号:US11663493B2
公开(公告)日:2023-05-30
申请号:US16262208
申请日:2019-01-30
Applicant: Intuit Inc.
Inventor: Shashank Shashikant Rao , Sambarta Dasgupta , Colin Dillard
CPC classification number: G06N3/126 , G06F16/285 , G06N5/04
Abstract: Forecasts are provided based on dynamic model selection for different sets of time series. A model comprises a transformation and a prediction algorithm. Given a time series, a transformation is selected for the time series and a prediction algorithm is selected to make a forecast based on the transformed time series. Sets of time series are distinguished from each other based on diverse sparsities, temporal scales and other time series attributes. A model is dynamically selected based on time series attributes to increase forecasting accuracy and decrease forecasting computation time. The dynamic model selection is based on the creation of a meta-model from historical sets of historical time series.
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公开(公告)号:US20230161818A1
公开(公告)日:2023-05-25
申请号:US18157687
申请日:2023-01-20
Applicant: INTUIT INC.
Inventor: Aleksandr MATIUSHKIN , Ajay GUPTA , Grigoriy KESLER
IPC: G06F16/901 , G06F16/903 , G06F9/54 , G06F16/28 , G06F16/9038
CPC classification number: G06F16/9024 , G06F16/90335 , G06F9/546 , G06F16/289 , G06F16/9038
Abstract: Certain aspects of the present disclosure provide techniques for enumerating relationships in an object graph using traversal context objects that are decoupled from the implementation details of an object graph and the objects stored therein. An example method generally includes receiving a request to traverse an object graph, the object graph including a plurality of objects. A root context object is generated, and a traversal context object associated with a root node of the object graph is generated. The traversal context object is linked to the root context object and added to a traversal data structure. The graph is traversed by adding and removing traversal context objects to and from the traversal data structure until a terminating event occurs.
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公开(公告)号:USD986257S1
公开(公告)日:2023-05-16
申请号:US29773195
申请日:2021-03-08
Applicant: Intuit Inc.
Designer: Vivek Saigal , Jessica Torres , D. Kwasi Twum-Acheampong , Li Chen
Abstract: FIG. 1 is a front view of a display screen with graphical user interface, showing a first transitional image;
FIG. 2 is a front view of a display screen with graphical user interface, showing a second transitional image; and,
FIG. 3 is a front view of a display screen with graphical user interface, showing a third transitional image.
The broken lines showing a display screen, text, and other elements of the graphical user interface in the figures form no part of the claimed design. The appearance of the transitional image sequentially transitions between the images shown in FIGS. 1-3. No ornamental aspects are associated with the process or period in which one image transitions to another image.
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