Sumo Logic, Inc.

Tejaswi Redkar

David M Andrzejewski

Bashyam Tca

Rohith Kumar Poshala

Michael J Haskell

Aaishwarya Bansal

Ayan Ghatak

Techniques are presented for recommending queries to search log information. The system provides useful insights and recommendations based on user needs and queries by utilizing the user context, with information about the user activities (e.g., recent alerts) and the user configuration in the system (e.g., applications configured by the user), to provide recommendations. There may not be enough context for a new user to provide good recommendations, so the system determines the context based on the activities of other users, such as more experienced users or users investigating the same type of problem. Based on the context, the user recommends natural language queries (NLQ) or system queries to accelerate the search process and assist the user during an investigation. Further, NLQs may be converted to complex search queries that use the search query language, and the NLQs may also be used as part of the context for the subsequent recommendations.

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San Ramon, CA, United States of America

Tejaswi Redkar