Glean Technologies, Inc.

Calvin Qi

Piyush Prahladka

Mrinal Mohit

Eddie Zhou

Sumeet Sobti

Debarghya Das

Sharvanath Pathak

Arvind Jain

Rui Wu

Neil Rajesh Dhruva

Shivaal Roy

Dragos Florian Ristache

Divyansh Agarwal

Lauren Zhu

Arjun Landes

Justin Nicholas Borromeo

Nikhil Mandava

James Ma

Chau Hai Tran

Sagar Vare

Methods and apparatuses for providing a real-time enterprise knowledge assistant that automatically responds to user comments and questions via a graphical user interface are described. The enterprise knowledge assistant may display automated responses to questions provided by users within a persistent chat channel (or other communications channel). The information displayed or referenced (e.g., via a linked electronic document) within an automated response to a user's factual question may be determined based on access rights to linked documents and the number of electronic interactions between users, such as the number of times that users co-edited or collaborated on documents (e.g., programming code). Upon detection that at least a portion of a user's message within a chat channel has been classified as a factual question, the enterprise knowledge assistant may access question and answer pairings stored within a frequently asked questions database and display an authorized answer.

Leveraging question and answer pair extraction from linked documents to improve permissions-aware automated responses

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

Enterprise knowledge assistant with permissions-aware automated responses

Identification of permissions-aware enterprise-specific term substitutions

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Redwood City, CA, United States of America

Calvin Qi