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US Patent 11928564 Machine-learned predictive models and systems for data preparation recommendations

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
119285640
Patent Inventor Names
Yeye He0
Cong Yan0
Date of Patent
March 12, 2024
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Patent Application Number
179693770
Date Filed
October 19, 2022
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Patent Citations
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US Patent 11250515 Self-service claim automation using artificial intelligence
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US Patent 10289704 Method and system for implementing categorically organized relationship effects
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US Patent 11023101 System and method for implementing a self service machine learning framework
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US Patent 7756804 Automated model building and evaluation for data mining system
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US Patent 8898592 Grouping expanded and collapsed rows in a tree structure
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US Patent 9720939 Method and system for implementing categorically organized relationship effects
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Patent Primary Examiner
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Hamza N Algibhah
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CPC Code
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G06N 5/02
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G06N 20/00
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Patent abstract

Systems are provided for facilitating the building and use of models used to make data preparation recommendations. The systems identify ground truth from a plurality of notebooks and utilizes the ground truth to generate the corresponding data preparation recommendation models. The data preparation recommendation models are used to predict accurate (e.g., useful and relevant) data preparations steps based on user input and user notebook data. The data preparation computing system generates a recommendation prompt based on output from the data preparation recommendation model that can be viewed and/or selected by the user to be applied to the user's notebook data.

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