Abstract: Systems, methods and a machine-readable media are described herein for a salary range engine to identify at least one attribute of a first member profile from a plurality of member profiles of a social networking service. The salary range engine correlates the at least one attribute with respect to at least a portion of trained salary data in a trained salary data repository. The salary range engine infers a target salary range based on a correlation between the at least one attribute of the first member profile and at least the portion of the trained salary data.

Abstract: Systems and methods for managing overlapping taxonomies, in accordance with some embodiments, are disclosed. The system stories a set of taxonomic grouping rules for organizing members based on stored member data and receives a request for grouping information for a particular member. Using stored member data for the particular member, the system classifies the particular member into an atomic taxonomic group in the plurality of the atomic taxonomic groups. The system, based on the atomic taxonomic group that the particular member is classified into, automatically determines the requested grouping information. The system then transmits the requested grouping information to a requesting computer system.

Abstract: Systems, methods and a machine-readable media are described herein for a salary range engine to identify at least one attribute of a first member profile from a plurality of member profiles of a social networking service. The salary range engine correlates the at least one attribute with respect to at least a portion of trained salary data in a trained salary data repository. The salary range engine infers a target salary range based on a correlation between the at least one attribute of the first member profile and at least the portion of the trained salary data.