Résumé Content Creation with Semantic Job Titles for Parser Matching
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Solution Overview
Problem
Conventional résumé parsing software fails to accurately capture the skills and experience of applicants due to variations in phrasing and job titles, leading to qualified candidates being rejected.
Innovation Solution
A multi-input based content creation system that uses a semantically similar job title selector and curated skills dataset to generate résumés tailored to match the phrasing used by résumé parsing software, incorporating a user interface for inputting job title and experience parameters to suggest relevant skills.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional résumé parsing software is used to filter applicants, then the volume of résumés to be reviewed is reduced, but qualified candidates are rejected due to lack of matching keywords
Solution Approach 1:
The system performs preliminary action by automatically generating résumé content with optimized keywords and phrases before the applicant submits the résumé. The content creation tool pre-fills skill descriptions, job titles, and experience statements with terminology that matches parsing software criteria, ensuring the résumé is ready to pass keyword filters without requiring manual optimization by the applicant.
Solution Approach 2:
The patent introduces an intermediary system - the content creation tool - that acts as a mediator between the applicant's actual skills and the parsing software's keyword requirements. This intermediary translates diverse skill descriptions into standardized, parsing-friendly terminology while maintaining accuracy, thereby bridging the gap between applicant intent and system requirements.
2Speed
If résumé parsing software uses strict keyword matching, then processing speed is improved, but qualified candidates with non-standard phrasing are rejected
Solution Approach 1:
The system changes the parameter of skill description formatting by transforming diverse, natural-language skill descriptions into standardized parameters that match parsing software expectations. The content creation tool adjusts phrasing, terminology, and structural parameters of skill statements to align with common parsing criteria, enabling fast keyword matching while maintaining recognition of varied actual skills.
3Ease of operation
If applicants manually write their own résumés, then personal expression of skills is improved, but keyword optimization for parsing software deteriorates
Solution Approach 1:
The content creation tool enables self-service by automatically optimizing résumé keywords based on the applicant's input about their skills and experience. The system serves itself by extracting information from applicant responses and automatically generating optimized content, eliminating the need for applicants to manually craft keyword-optimized résumés while still allowing them to express their personal skills accurately.
Data Source
AI summary
A method for generating a résumé may receive at least an experience parameter and a job title parameter. Related job titles in a historical résumé dataset may be selected that are semantically related to the job title parameter by using a semantically similar job title selector. The historical résumé dataset may be filtered based on at least the experience parameter and the related job titles to obtain a filtered résumé dataset. A list of user skills may be obtained by selecting skills from the filtered résumé dataset. A list of curated skills may be obtained by selecting curated skills from a curated skills dataset based on at least the experience parameter and the one or more related job titles. A list of candidate skills may be obtained by mapping skills from the list of user skills to corresponding curated skills. Selected candidate skills may be incorporated into a résumé.