Patent ID: 9697498
Date: 2017-07-04
CPC Classifications: G06Q

Claim:
1. A computer-implemented method comprising: generating trained salary data for a database based on inputting a set of data into a machine learning algorithm, the set of training data comprising a set of member profiles attributes of a plurality of member profiles in a social networking service and a known salary amount for each member profile in the set of data; identifying for each type of member profile attribute, via the machine learning algorithm, a statistical likelihood that a respective type of member profile attribute is correlated with a particular salary range, wherein a first type of member profile attribute comprises a specific job title of a supervisor of a member profile having a social network connection with a given member profile, indentifying an instance of the first type of member profile attribute of a first member profile from a plurality of member profiles in the social networking service; and inferring a target salary range of the first member based at least on a correlation in the trained salary data between the instance of the first type of member profile attribute of the first member profile and the known salary amounts of each member profile in the set data.