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:
Jul. 15, 2025

Filed:

Jul. 17, 2023
Applicant:

Glean Technologies, Inc., Palo Alto, CA (US);

Inventors:

Piyush Prahladka, Los Altos, CA (US);

Eddie Zhou, Redwood City, CA (US);

Arjun Landes, San Francisco, CA (US);

Sumeet Sobti, Fremont, CA (US);

Rui Wu, Sunnyvale, CA (US);

Divyansh Agarwal, San Francisco, CA (US);

Sagar Vare, Mountain View, CA (US);

Nikhil Mandava, Fremont, CA (US);

James Ma, Sunnyvale, CA (US);

Mrinal Mohit, San Francisco, CA (US);

Calvin Qi, San Francisco, CA (US);

Chau Hai Tran, New York, NY (US);

Lauren Zhu, San Francisco, CA (US);

Neil Dhruva, San Francisco, CA (US);

Justin Nicholas Borromeo, San Mateo, CA (US);

Assignee:

Glean Technologies, Inc., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/14 (2006.01); G06F 11/34 (2006.01); G06F 21/62 (2013.01);
U.S. Cl.
CPC ...
G06F 11/1433 (2013.01); G06F 11/3466 (2013.01); G06F 21/6218 (2013.01); G06F 2221/2113 (2013.01); G06F 2221/2141 (2013.01);
Abstract

Methods and apparatuses for dynamically generating and applying automated search evaluation sets to improve search results and to automatically detect and correct search system issues are described. A search evaluation set may comprise a set of search evaluation vectors that each map a search query and corresponding properties of the search query to a canonical search result. To detect search system issues over time, baseline search result rankings may be periodically generated or automatically generated after software updates to the search system have been made. Two consecutive baseline search result rankings using the same search evaluation set may then be compared to detect result deviations in search result rankings. If the search system detects that at least a threshold number of result deviations have occurred, then the search system may perform subsequent actions to automatically detect and correct search system issues.


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