MODELING EXPERTISE BASED ON UNSTRUCTURED EVIDENCE

Organization Name

microsoft technology licensing, llc

Inventor(s)

Gungor Polatkan of San Jose CA US

Jun Liu of Bellevue WA US

Diane Lee of Sunnyvale CA US

Rui Ma of New York NY US

Yanen Li of Savoy IL US

Di Zhou of Newark CA US

Zhuliu Li of San Jose CA US

Necip Fazil Ayan of Menlo Park CA US

MODELING EXPERTISE BASED ON UNSTRUCTURED EVIDENCE

This abstract first appeared for US patent application 20250103619 titled 'MODELING EXPERTISE BASED ON UNSTRUCTURED EVIDENCE

Original Abstract Submitted

embodiments of the disclosed technologies obtain evidence from at least one electronic data source. the evidence can include unstructured data associated with an entity. a set of entity features is extracted from the evidence. the set of entity features includes at least one digital description of expertise associated with the entity. the set of entity features, including the at least one digital description of expertise, is encoded, in digital form, into an entity feature embedding. at least one entity expertise embedding is extracted from the entity feature embedding. the at least one entity expertise embedding encodes an entity domain and a level of expertise of the entity in the entity domain. the at least one entity expertise embedding can be stored in digital form as an entity embedding and/or provided to at least one downstream process, model, component, network, and/or system.