Video Resume Duplication Coefficient Calculation

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current methods fail to efficiently parse and compare video resumes, lacking the ability to automatically analyze and sort applicants based on their video content, which hinders effective job matching and recruitment processes.

Innovation Solution

A computing device is configured to acquire and compare video elements from target and existing video resumes, determining a duplication coefficient that quantifies the similarity between them, enabling automatic sorting and identification of redundancies in video resume data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If video resumes are manually reviewed, then hiring accuracy is improved, but time consumption and processing efficiency deteriorate

Engineering Contradiction:

Improvehiring accuracyVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces the mechanical manual review process with an automated computing system that uses machine learning models and algorithms to analyze video resume content, extract features, and generate hiring recommendations, thereby eliminating time-consuming manual operations while maintaining or improving accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables video resumes to be automatically processed and evaluated without human intervention by implementing self-service capabilities where the computing device independently performs feature extraction, comparison, and ranking of candidates based on their video content

Inventive Principle:

Principle #25Self-service

2Productivity

If video resume data is stored and compared, then job matching efficiency is improved, but data processing complexity and storage requirements worsen

Engineering Contradiction:

Improvejob matching efficiencyVSAvoiddata processing complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent extracts key features and characteristics from video resume data such as speech patterns, facial expressions, and content themes, separating essential hiring-related information from raw video content to reduce processing complexity while maintaining matching efficiency

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system transforms video resume data into standardized parameters and metrics that can be efficiently compared and analyzed, changing the form of data representation to simplify processing operations and reduce computational complexity

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11599856B1Apparatuses and methods for parsing and comparing video resume duplications

Publication Date: 2023.03.07 JOB COM LLC

AI summary

Aspects relate to apparatuses and methods for parsing and comparing resume video duplications. An exemplary apparatus includes a processor configured to acquire a plurality of video elements from a target video resume, wherein the target video resume includes at least an image component, compare at least an existing video resume and the target video resume to obtain a comparison result, and determine, as a function of the comparison result, a duplication coefficient for the target resume video, wherein the duplication coefficient relates to a similarity between the target video and at least and existing resume video.