Abstract: Methods and systems receive machine-readable input data describing a job listing or employment opportunity. The system scans the input data and software algorithms process it to predict specific information required by a particular html schema. To predict the information required by the schema, in one aspect, the system applies machine learning tools, for example, prediction models, which may be generated from training data selected from large job listing data collections, and specifically adapted and tuned for each field of interest, for example, job description, job location, and salary. This information is used to generate structured data, for example, html code, consistent with the schema for automatic insertion into a web page to comply with the schema and make the listing widely available to automated search processes.

Abstract: Methods and systems receive machine-readable input data describing a job listing or employment opportunity. The system scans the input data and software algorithms process it to predict specific information required by a particular html schema. To predict the information required by the schema, in one aspect, the system applies machine learning tools, for example, prediction models, which may be generated from training data selected from large job listing data collections, and specifically adapted and tuned for each field of interest, for example, job description, job location, and salary. This information is used to generate structured data, for example, html code, consistent with the schema for automatic insertion into a web page to comply with the schema and make the listing widely available to automated search processes.

Abstract: The Sourcing Abound Candidates Apparatuses, Methods and Systems (“Abound”) transforms data normalization support request and candidate criteria inputs via Abound components into criteria matching candidate indication outputs. An apparatus for sourcing active and passive jobseekers through jobseeker social media data, comprising a memory and a processor that issues instructions to: extract jobseeker data from a plurality of social media sources. That includes instructions to obtain jobseeker data from at least one of: various social media API's or crawl said social media sources and utilize extracted schemas to analyze said jobseeker data. Thereafter Abound may perform a link resolving and schema merging process to eliminate duplicates from the schemas and transform non-categorical schema data to conform with a master schema standard. Then Abound may reconcile variations in categorical schemas to said master schema standard and load jobseeker data into a master schema.

Abstract: The Sourcing Abound Candidates Apparatuses, Methods and Systems (“Abound”) transforms data normalization support request and candidate criteria inputs via Abound components into criteria matching candidate indication outputs. An apparatus for sourcing active and passive jobseekers through jobseeker social media data, comprising a memory and a processor that issues instructions to: extract jobseeker data from a plurality of social media sources. That includes instructions to obtain jobseeker data from at least one of: various social media API's or crawl said social media sources and utilize extracted schemas to analyze said jobseeker data. Thereafter Abound may perform a link resolving and schema merging process to eliminate duplicates from the schemas and transform non-categorical schema data to conform with a master schema standard. Then Abound may reconcile variations in categorical schemas to said master schema standard and load jobseeker data into a master schema.