Abstract: The Search Extraction Matching, Draw Attention-Fit Modality, Application Morphing, and Informed Apply Apparatuses, Methods and Systems (“SEMATFM-AMIA”) transforms inputs including new job listing introduction inputs, via SEMATFM-AMIA components (e.g., the conductor component, the resume view controller component, the XY paths handler component, the title handler component, the resume librarian component, and the job listing librarian component), into outputs including relevant resume outputs and/or augmented new job listing record outputs. It is noted that the terms “component” and “object” may be used interchangeably hereinthroughout. In one embodiment, the SEMATFM-AMIA includes an apparatus, comprising: a memory, a component collection in the memory, and a processor disposed in communication with the memory, and configured to issue a plurality of processing instructions from the component collection stored in the memory.
Abstract: The SOCIAL MATCH PLATFORM APPARATUSES, METHODS AND SYSTEMS (“SMP”) transforms platform join requests, social network info, and SMP network info inputs via SMP components NJ, JIP, CIP, OP, CN-SGU and CN-UPSOG into job info, candidate info, offer info, and social meetup info outputs. A job information request for a candidate may be obtained. Social data associated with the candidate may be determined. A social job relevancy rating for various jobs may be calculated using the social data. A job may be selected using the social job relevancy rating for the job, and information regarding the selected job may be provided.
Type:
Grant
Filed:
July 25, 2022
Date of Patent:
March 24, 2026
Assignee:
MCB Bermuda Ltd.
Inventors:
Thomas J. Chevalier, Matthew Mund, Kristi Ince, Dee Dellovo