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.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method comprising: identifying at least one attribute of a first member profile from a plurality of member profiles in a social networking service; correlating the at least one attribute of the first member profile with respect to at least a portion of trained salary data in a trained salary data repository; and inferring 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. 2. The computer-implemented method of claim 1, wherein inferring a target salary range based on a correlation between the at least one attribute and at least the portion of the trained salary data comprises: determining a salary range within which an actual salary of the first member should be based on a correlation of the at least one attribute of the first member profile to at least one corresponding attribute in the trained salary data. 3. The computer-implemented method of claim 2, wherein the at least one corresponding attribute in the trained salary data is related to at least one actual salary value. 4. The computer-implemented method of claim 1, wherein inferring a target salary range based on a correlation between the at least one attribute and at least the portion of the trained salary data comprises: determining a salary range within which an actual salary of the first member should be based on an educational institution described in the first member profile and a measure of professional seniority described in the first member profile. 5. The computer-implemented method of claim 1, wherein identifying at least one attribute of a first member profile from a plurality of member profiles in a social networking service comprises: identifying at least one of: a) at least one industry associated with the first member profile; b) at least one job title in the first member profile; c) at least one geographic location in the first member profile; d) at least one measure of educational attainment described in the first member profile; e) at least one level of professional seniority described in the first member profile; f) at least one job function described in the first member profile; g) at least one skill described in the first member profile; h) at least one measure of strength of at least one skill described in the first member profile; i) at least one size of at least one employer in the first member profile; and j) at least one title of a supervisor of the first member. 6. A computer-readable medium storing executable instructions thereon, which, when executed by a processor, cause the processor to perform operations including: identifying at least one attribute of a first member profile from a plurality of member profiles in a social networking service; correlating the at least one attribute of the first member profile with respect to at least a portion of trained salary data in a trained salary data repository; and inferring 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. 7. The computer-readable medium of claim 6, wherein inferring a target salary range based on a correlation between the at least one attribute and at least the portion of the trained salary data comprises: determining a salary range within which an actual salary of the first member should be based on a correlation of the at least one attribute of the first member profile to at least one corresponding attribute in the trained salary data. 8. The computer-readable medium of claim 7, wherein the at least one corresponding attribute in the trained salary data is related to at least one actual salary value. 9. The computer-readable medium of claim 6, wherein inferring a target salary range based on a correlation between the at least one attribute and at least the portion of the trained salary data comprises: determining a salary range within which an actual salary of the first member should be based on an educational institution described in the first member profile and a measure of professional seniority described in the first member profile. 10. The computer-readable medium of claim 6, wherein identifying at least one attribute of a first member profile from a plurality of member profiles in a social networking service comprises: identifying at least one of: a) at least one industry associated with the first member profile; b) at least one job title in the first member profile; c) at least one geographic location in the first member profile; d) at least one measure of educational attainment described in the first member profile; e) at least one level of professional seniority described in the first member profile; f) at least one job function described in the first member profile; g) at least one skill described in the first member profile; h) at least one measure of strength of at least one skill described in the first member profile; i) at least one size of at least one employer in the first member profile; and j) at least one title of a supervisor of the first member. 11. A computer system comprising: a processor; a memory device holding an instruction set executable on the processor to cause the computer system to perform operations comprising: identifying at least one attribute of a first member profile from a plurality of member profiles in a social networking service; correlating the at least one attribute of the first member profile with respect to at least a portion of trained salary data in a trained salary data repository; and inferring 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. 12. The computer system of claim 11, wherein inferring a target salary range based on a correlation between the at least one attribute and at least the portion of the trained salary data comprises: determining a salary range within which an actual salary of the first member should be based on a correlation of the at least one attribute of the first member profile to at least one corresponding attribute in the trained salary data. 13. The computer system of claim 12, wherein the at least one corresponding attribute in the trained salary data is related to at least one actual salary value. 14. The computer system of claim 11, wherein inferring a target salary range based on a correlation between the at least one attribute and at least the portion of the trained salary data comprises: determining a salary range within which an actual salary of the first member should be based on an educational institution described in the first member profile and a measure of professional seniority described in the first member profile. 15. The computer system of claim 11, wherein identifying at least one attribute of a first member profile from a plurality of member profiles in a social networking service comprises: identifying at least one of: a) at least one industry associated with the first member profile; b) at least one job title in the first member profile; c) at least one geographic location in the first member profile; d) at least one measure of educational attainment described in the first member profile; e) at least one level of professional seniority described in the first member profile; f) at least one job function described in the first member profile; g) at least one skill described in the first member profile; h) at least one measure of strength of at least one skill described in the first member profile; i) at least one size of at least one employer in the first member profile; and j) at least one title of a supervisor of the first member.