Abstract: An online social networking system extracts terms from an unstructured job title record. The system searches a job role taxonomy database with the extracted terms to identify job roles. For each job role identified, the system extracts a plurality of additional terms appearing in the unstructured job title record. For each additional term, the system maps the additional term to a standardized modifier, thereby identifying a job seniority modifier, a job specialty modifier, a job accreditation modifier, and a job status modifier for each additional term. The system creates a multi-dimensional standardized job title for the member profile or job posting by writing the job role, the job seniority modifier, the job specialty modifier, the job accreditation modifier, and the job status modifier to a standardization record in a standardization database.

Abstract: An online social networking system receives an unstructured job title record from a profile of a member or a job posting. The system extracts a raw job title from the unstructured job title record, and extracts a first seniority level from the raw job title. The first seniority level is a seniority modifier associated with the raw job title. The system determines a second seniority level. The second seniority level is a company seniority within the company associated with the unstructured job title record. The system determines a third seniority level. The third seniority level is a seniority score for the member or the job posting. The system compares the seniority score with a second seniority score, and communicates with the member, or transmits the job posting to the member, based on the comparison of the seniority score and the second seniority score.

Abstract: Among other things, embodiments of the present disclosure discussed herein may be used to analyze the online social network profiles of users of the social network and generate customized summaries of the profiles. Among other things, the embodiments of the present disclosure help quickly and efficiently generate an intuitive and personalized summary of a user's profile, even where a user's profile contains a relatively lengthy amount of content.

Abstract: In an example embodiment, a deep representation data structure is formed having first vectors representing titles from a social network data structure and second vectors representing skills from a social network data structure represented as coordinates in the deep representation data structure. One or more objective functions are applied to at least one combination of first vectors and second vectors in the deep representation data structure, causing an objective function output for each of the at least one combination. One or more coordinates for the vectors in the combination are clustered into occupation clusters, wherein each coordinate in each of the occupation clusters shares an occupation. A cluster representative is identified for each of the occupation clusters. Then, the cluster representative can be used to infer an occupation for a first member profile having a role that is ambiguous.

Abstract: Among other things, embodiments of the present disclosure discussed herein may be used to analyze the online social network profiles of users of the social network and generate customized summaries of the profiles. Among other things, the embodiments of the present disclosure help quickly and efficiently generate an intuitive and personalized summary of a user's profile, even where a user's profile contains a relatively lengthy amount of content.

Abstract: An online social networking system receives an unstructured job title record from a profile of a member or a job posting. The system extracts a raw job title from the unstructured job title record, and extracts a first seniority level from the raw job title. The first seniority level is a seniority modifier associated with the raw job title. The system determines a second seniority level. The second seniority level is a company seniority within the company associated with the unstructured job title record. The system determines a third seniority level. The third seniority level is a seniority score for the member or the job posting. The system compares the seniority score with a second seniority score, and communicates with the member, or transmits the job posting to the member, based on the comparison of the seniority score and the second seniority score.

Abstract: A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein are directed to a Mapping Engine that selects a candidate job title(s) from a portion of a job title taxonomy that corresponds with a job title(s) in profile data of a target member account of a social network service. For each respective candidate job title in the plurality of candidate job titles, the Mapping Engine assembles, according to an encoded rule(s) of a machine learning model for the respective candidate job title, feature vector data based in part on profile data of the target member account. The Mapping Engine calculates a probable job title score according to the machine learning model for the respective candidate job title. The Mapping Engine identifies a select probable job title score from a plurality of probable job title scores.

Abstract: An online social networking system extracts terms from an unstructured job title record. The system searches a job role taxonomy database with the extracted terms to identify job roles. For each job role identified, the system extracts a plurality of additional terms appearing in the unstructured job title record. For each additional term, the system maps the additional term to a standardized modifier, thereby identifying a job seniority modifier, a job specialty modifier, a job accreditation modifier, and a job status modifier for each additional term. The system creates a multi-dimensional standardized job title for the member profile or job posting by writing the job role, the job seniority modifier, the job specialty modifier, the job accreditation modifier, and the job status modifier to a standardization record in a standardization database.