Unitedhealth Group Incorporated

David Armbrust

Ayush Tomar

Vinit Garg

Laura D Hamilton

Lun Yu

Martin R Linenweber

Preet Kamal S Bawa

Rupesh Kartha

Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for retrieving relevant items for user queries by generating, using a search engine machine learning model, a prediction-based action for the query input wherein query input embeddings of the query input are generated. For each query input embedding, a k-Nearest-Neighbor (KNN) search is performed with respect to search engine repository item embeddings to generate initial search results, and for each initial set result, performing N hops within a semantic graph starting from nodes associated with the initial search result to generate related search results. The search engine machine learning model is trained by generating a search engine repository item embeddings according to embedding techniques for respective content categories and generating the semantic graph based at least in part on a measure of similarity for pairs of search engine repository item embeddings.

Search analysis and retrieval via machine learning embeddings

Growing community of inventors

Glen Ellyn, IL, United States of America

David Armbrust