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US Patent 11768837 Semantic entity search using vector space

Patent 11768837 was granted and assigned to Wells Fargo on September, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Wells Fargo
Wells Fargo
Current Assignee
Wells Fargo
Wells Fargo
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11768837
Patent Inventor Names
David Newman
Alexander Joseph Kalinowski
Omar B. Khan
Date of Patent
September 26, 2023
Patent Application Number
17646228
Date Filed
December 28, 2021
Patent Citations
‌
US Patent 9779147 Systems and methods to query and visualize data and relationships
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US Patent 10348658 Suggested items for use with embedded applications in chat conversations
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US Patent 10628490 Techniques for digital entity correlation
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US Patent 10733619 Semantic processing of customer communications
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US Patent 10740541 Fact validation in document editors
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US Patent 10762118 Method and system of presenting information related to search
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US Patent 10769142 Graph processing in database
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US Patent 10936969 Method and system for an end-to-end artificial intelligence workflow
...
Patent Citations Received
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US Patent 12093230 Semantic deduplication of event logs
0
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US Patent 11989198 User interfaces for database visualizations
0
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US Patent 12072918 Machine learning using knowledge graphs
0
Patent Primary Examiner
‌
Jorge A Casanova
CPC Code
‌
G06F 16/2423
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G06F 16/24575
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G06N 5/02
Patent abstract

A method may include storing a vector space representation of a set of concepts in a semantic ontology, wherein locations of the set of concepts in the vector space are based on weights of a neural network trained using triples from the semantic ontology; presenting a semantic search user interface including: a text input portion to receive a search query from an input device; a suggested search portion; and a search results portion; receiving, from a user computing device, the search query; converting, using at least one processor, the search query into a vector; computing, using the at least one processor; a set of possible concepts related to the search query based on a distance between the vector and other concepts in the vector space representation; and presenting the set of possible concepts related to the search query in the suggested search portion of the semantic search user interface.

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