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US Patent 9348920 Concept indexing among database of documents using machine learning techniques

Patent 9348920 was granted and assigned to Palantir Technologies on May, 2016 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Palantir Technologies
Palantir Technologies
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Current Assignee
Palantir Technologies
Palantir Technologies
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
93489200
Patent Inventor Names
Max Kesin0
Date of Patent
May 24, 2016
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Patent Application Number
147466710
Date Filed
June 22, 2015
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Patent Citations Received
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US Patent 12093647 Hierarchical search for improved search relevance
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US Patent 11881006 Machine learning assistant for image analysis
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US Patent 11928095 Image analysis interface
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US Patent 11960480 System, method, and computer program product for generating code to retrieve aggregation data for machine learning models
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US Patent 11977863 Framework for developing and deploying applications
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US Patent 11669502 Coordinated version control system, method, and recording medium for parameter sensitive applications
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US Patent 11687579 Dictionary editing system integrated with text mining
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US Patent 11694100 Classifying and grouping sentences using machine learning
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...
Patent Primary Examiner
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Shahid Alam
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Patent abstract

Systems and techniques for indexing and/or querying a database are described herein. Discrete sections and/or segments from documents may be determined by a concept indexing system. The segments may be indexed by concept and/or higher-level category of interest to a user. A user may query the segments by one or more concepts. The segments may be analyzed to rank the segments by statistical accuracy and/or relatedness to one or more particular concepts. The rankings may be used for presentation of search results in a user interface. Furthermore, segments and/or documents may be ranked based on recency decay functions that distinguish between segments that maintain their relevance over time in contrast with temporal segments whose relevance decays quicker over time, for example.

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