Glean Technologies, Inc.

Neil Rajesh Dhruva

Piyush Prahladka

Eddie Zhou

Mrinal Mohit

Sumeet Sobti

Calvin Qi

Rui Wu

Debarghya Das

Shivaal Roy

Divyansh Agarwal

James Ma

Arjun Landes

Chau Hai Tran

Nikhil Mandava

Sagar Vare

Lauren Zhu

Justin Nicholas Borromeo

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.

Automated search evaluation

A system and method for monitoring and optimizing work assistant search engines implemented within secured enterprise computing systems include one or more processing devices to receive diagnostic data of a work assistant search engine from a secured enterprise computing system. The one or more processing devices may further determine, by analyzing the diagnostic data, a search quality metric value associated with the feature values and the scores. Responsive to determining that the search quality metric value differs from a target search quality metric value by a predetermined threshold value, the one or more processing devices may further determine an updated score model, and provide the updated score model to the secured enterprise computing system to update the work assistant search engine.

System, method, and computer program for monitoring and optimizing enterprise knowledge management platform using non-personally-identifiable information in logs

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Palo Alto, CA, United States of America

Neil Rajesh Dhruva