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US Patent 12067037 System, method, and computer program for performing natural language searches for documents in a database using alternate search suggestions

Patent 12067037 was granted and assigned to Apttus on August, 2024 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
Apttus
Apttus
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Current Assignee
Apttus
Apttus
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120670370
Patent Inventor Names
Venkatraman Naganathan0
Date of Patent
August 20, 2024
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Patent Application Number
176831090
Date Filed
February 28, 2022
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Patent Citations
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US Patent 8583675 Providing result-based query suggestions
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US Patent 8644842 Personal augmented reality advertising
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US Patent 9098569 Generating suggested search queries
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US Patent 9495222 Systems and methods for performance indexing
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US Patent 9519907 Method and apparatus for efficient delta pricing
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US Patent 10102199 Corpus specific natural language query completion assistant
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US Patent 10289261 Visualization of spending data in an altered reality
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US Patent 10521491 Real-time and computationally efficient prediction of values for a quote variable in a pricing application
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...
Patent Primary Examiner
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Monica M Pyo
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CPC Code
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G06F 16/3334
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G06F 16/3329
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G06F 16/3322
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Patent abstract

A system, method, and computer program are provided for performing natural language searches for documents in a database using alternate search suggestions. The system receives a user's natural language query to search a document database and processes the natural language query to map natural language terms to terms for a database query. The system identifies a term in the user's natural language query that the system is unable to map to terms for a database query and determines that the unmapped term is a candidate document keyword term. The system provides an alternate natural language input search suggestion and, in response to user acceptance, the system creates a database query that includes a metadata subquery with database metadata terms and a document keyword subquery that includes the candidate document keyword term. The system resolves the user's natural language query by performing metadata and document keyword searches on the document database.

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