Elasticsearch B.v.

David Harsha

Marshall Scorcio

Mark Hoy

Sean Story

Brian Stevenson

Provided are systems and methods for automatic search query refinement. An example method commences with identifying a plurality of electronic sources of data content of an entity stored at different network-accessible locations. The content may be dynamically assigned fields based on criteria specified by the entity. Thereupon, a unified search interface may be provided to authorized users to search the content. A search query subsequently received from a user may be parsed. The method continues with determining, upon the parsing and based on predetermined rules, triggers associated with the search query. In some embodiments, the triggers include search triggers to be used for searching content, filter triggers to be applied for filtering search results, and structural triggers to be used for ranking the search results. The method further includes searching the content based on the triggers to retrieve the search results and providing the search results to the user.

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San Francisco, CA, United States of America

David Harsha