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US Patent 10002322 Systems and methods for predicting transactions

Patent 10002322 was granted and assigned to The Boston Consulting Group (Bcg) on June, 2018 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
The Boston Consulting Group (Bcg)
The Boston Consulting Group (Bcg)
Current Assignee
The Boston Consulting Group (Bcg)
The Boston Consulting Group (Bcg)
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10002322
Date of Patent
June 19, 2018
Patent Application Number
15481094
Date Filed
April 6, 2017
Patent Citations Received
‌
US Patent 12014267 Systems and methods for sequential event prediction with noise-contrastive estimation for marked temporal point process
0
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US Patent 11768912 Performing multivariate time series prediction with three-dimensional transformations
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US Patent 11887023 Systems and methods for generating time slot predictions and repurchase predictions using machine learning architectures
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US Patent 11967413 Data aggregation, integration and analysis system and related devices and methods
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US Patent 10599449 Predictive action modeling to streamline user interface
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US Patent 11004565 Data aggregation, integration and analysis system and related devices and methods
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US Patent 11042461 Monitoring multiple system indicators
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US Patent 11048530 Predictive action modeling to streamline user interface
...
Patent Primary Examiner
‌
Alan Chen
Patent abstract

Systems and methods for predicting transactions. A record is stored for each of a plurality of transactions, each record comprising an indication identifying each item from a set of items involved in the transaction and an indication of a time elapsed between the transaction and a previous transaction. A sequential plurality of the transactions is analyzed using a unidirectional long short term memory (LSTM) network to produce a probability that each item from the set of items will be involved in a next transaction, and a time estimate value for a future time when the next transaction will occur. The probability for each item and the time estimate value is stored in the memory as a prediction.

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