18583102. MACHINE LEARNING TECHNIQUES FOR GENERATING DOMAIN-AWARE QUERY EXPANSIONS (Optum, Inc.)
MACHINE LEARNING TECHNIQUES FOR GENERATING DOMAIN-AWARE QUERY EXPANSIONS
Organization Name
Inventor(s)
Ramin Anushiravani of San Carlos CA (US)
Micah David Ketola of Jersey City NJ (US)
Prerna Kaul of Minneapolis MN (US)
Chun-Chu Andrew Cheng of Artesia CA (US)
MACHINE LEARNING TECHNIQUES FOR GENERATING DOMAIN-AWARE QUERY EXPANSIONS
This abstract first appeared for US patent application 18583102 titled 'MACHINE LEARNING TECHNIQUES FOR GENERATING DOMAIN-AWARE QUERY EXPANSIONS
Original Abstract Submitted
Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for generating domain-specific queries that are semantically similar to a search query by spell-correcting and tokenizing a search query, and then generating, using an embeddings dictionary data object associated with one or more domain vocabulary data objects, queries semantically related to the search query based on proximity of one or more similar embeddings to an embedding associated with the tokenized query within a domain vector space.
