The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 22, 2026

Filed:

Nov. 27, 2024
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Amjad Al-Rikabi, Seattle, WA (US);

Stephen Michael Ash, Seattle, WA (US);

Anuj Chauhan, New York, NY (US);

Rishav Chakravarti, White Plains, NY (US);

Wuwei Lan, Princeton Junction, NJ (US);

Jerry Lin, New York, NY (US);

Gregory David Adams, Seattle, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/30 (2019.01); G06F 16/31 (2019.01); G06F 16/334 (2025.01); G06F 16/383 (2019.01);
U.S. Cl.
CPC ...
G06F 16/3344 (2019.01); G06F 16/316 (2019.01); G06F 16/383 (2019.01);
Abstract

Systems and methods are provided for an improved business intelligence platform that maintains and uses personalized data cache for processing natural language queries with personalized fuzzy matching in lieu of using predefined indexes of large amounts of data. The systems and methods provide for performing fuzzy matching using a natural language query and a personalized data cache storing a copy of data previously provided in response to interactions associated with a user profile, wherein the personalized data cache is separate from a data source storing the response data, and wherein the fuzzy matching does not use any fuzzy index of the data source generated prior to receiving the natural language query; obtaining, from results of the fuzzy matching, a set of query terms; obtaining the response data from the data source using the set of query terms; and generating a response to the natural language query using the response data.


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