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US Patent 12086137 Responding to similarity queries using vector dimensionality reduction

Patent 12086137 was granted and assigned to Intuit on September, 2024 by the United States Patent and Trademark Office.

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Intuit
Intuit
1
Current Assignee
Intuit
Intuit
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
120861371
Patent Inventor Names
Alexander S. Ran1
Marko Rukonic1
Christopher Z. Lesner1
Wei Wang1
Date of Patent
September 10, 2024
1
Patent Application Number
172019631
Date Filed
March 15, 2021
1
Patent Citations
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US Patent 9710544 Pivoting from a graph of semantic similarity of documents to a derivative graph of relationships between entities mentioned in the documents
1
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US Patent 10592995 Methods, systems, and computer program product for providing expense information for an electronic tax return preparation and filing software delivery model
1
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US Patent 10740385 Identifying visual portions of visual media files responsive to search queries
1
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US Patent 10650068 Search engine
1
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US Patent 8117213 Method and apparatus for fast similarity-based query, self-join, and join for massive, high-dimension datasets
1
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US Patent 8639596 Automated account reconciliation method
1
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US Patent 8655878 Scalable, adaptable, and manageable system for multimedia identification
1
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US Patent 9298757 Determining similarity of linguistic objects
1
...
Patent Primary Examiner
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Cam Linh T Nguyen
1
CPC Code
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G06F 16/951
1
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G06Q 30/0201
1
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G06F 16/24542
1
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G06F 16/2237
1
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G06F 16/2264
1
Patent abstract

Certain aspects of the present disclosure provide techniques for determining similarities between businesses. One example method generally includes receiving a similarity query and receiving transaction data associated with a plurality of businesses for comparing the plurality of businesses. The method further includes generating a set of vectors representing the plurality of businesses based on the transaction data and generating a set of compact vectors based on the vectors by applying a dimensionality reduction technique. The method further includes generating based on the set of compact vectors, a similarity index and determining a response to the similarity query using the similarity index.

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