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US Patent 11423071 Candidate data ranking method using previously selected candidate data

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Is a
Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
114230710
Patent Inventor Names
Roman Olshansky0
Date of Patent
August 23, 2022
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Patent Application Number
174632210
Date Filed
August 31, 2021
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Patent Citations
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US Patent 10115038 Method for adaptive learning utilizing facial recognition
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US Patent 10331764 Methods and system for automatically obtaining information from a resume to update an online profile
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US Patent 10346805 Model-assisted evaluation and intelligent interview feedback
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US Patent 10346928 Ranking members based on influence score
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US Patent 10353720 Computer system, method, and media for preparing qualitative elements of an academic application
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US Patent 10433030 Generating a customized highlight sequence depicting multiple events
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US Patent 10438135 Performance model adverse impact correction
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US Patent 10489439 System and method for entity extraction from semi-structured text documents
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Patent Citations Received
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US Patent 11803599 Apparatus and method for attribute data table matching
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US Patent 11887451 Hazard detector with optical status indicator
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US Patent 11907652 User interface and systems for document creation
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US Patent 12094326 Lens for a visual alarm detector
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Patent Primary Examiner
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Vincent F Boccio
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CPC Code
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G06F 16/387
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G06F 16/735
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G06F 40/279
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G10L 15/197
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G10L 15/26
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G10L 25/51
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G06F 16/335
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G06F 16/3335
0

Various embodiments provide a method for sorting data. The method can include: receiving criteria data from a user regarding an open opportunity; receiving candidate data, storing candidate data in a candidate profile in a candidate database; evaluating the candidate data, wherein evaluating the candidate data comprises: comparing the audio data of the candidate to a database of successfully-selected candidates to determine an N-gram analysis result for the candidate data, wherein the N-gram analysis includes creating a textual transcript of the audio data for a portion audio data; removing stop words from the textual transcript; creating an N-gram data set based on the textual transcript with stop words removed; comparing the N-gram data set of the candidate data to an N-gram data set of the successfully-selected candidates; and sorting the candidate data within a plurality of other candidate data using the N-gram analysis result.

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