What is the proportional factor in final matching Score? Explain with example and Calculation.

Proportional Factor in Final Matching Score

The Proportional Factor in the final matching score refers to how various components (such as JobProfile, Skills, Degree, etc.) are weighted during the matching process between a Job Description (JD) and a Resume. The idea is that each component (or "field") in both the JD and Resume is assigned a specific weight based on its importance, and these weights help to compute the final matching score.

Explanation and Calculation:

1. Weightage Distribution:
   
    
   • Every field in both the JD and Resume (like JobProfile, Skills, Experience, etc.) has an assigned weight. For example:
     
      
     • JobProfile has a weight of 35% for both JD and Resume.
       
        
     • Skills have a weight of 15% for both JD and Resume.
       
        
     • Experience has a weight of 10%, and so on.
       
        
2. Field Matching:
   
    
   • When the JD and Resume are compared, each field's value is checked against corresponding fields in the other entity. For instance:
     
      
     • If a JD mentions "Python" as a required skill, and the Resume has "Python" listed under skills, the corresponding weightage for Skills (15%) will be applied.
       
        
     • If the experience in the JD is "5+ years" and the Resume shows "6 years of experience", the matching score for Experience (10%) is calculated.
       
        
3. Proportional Factor:
   
    
   • The Proportional Factor helps to ensure that fields with higher importance (like JobProfile or Skills) contribute more heavily to the overall matching score than fields with lower weightage (like JobLocation or IndustryType).
     
      
   • For example, if the JobProfile has a weightage of 35% and the Resume's JobProfile matches 80% of the JD's JobProfile, the contribution to the final score will be proportional:
     JobProfile Score Contribution=80%×35=28%
   • Similarly, if the Skills field has a weightage of 15%, and the match is 60%, the contribution to the final score will be:
     Skills Score Contribution=60%×15=9%
4. Final Matching Score Calculation:
   
    
   • After calculating the individual contributions for all fields (JobProfile, Skills, Experience, Degree, etc.), the scores are summed up to give the final matching score. For example:
     Final Matching Score=JobProfile Contribution+Skills Contribution+Experience Contribution+⋯
   • If the contributions are:
     
      
     • JobProfile: 28%
       
        
     • Skills: 9%
       
        
     • Experience: 8%
       
        
     • Degree: 4%
       
        
     • JobLocation: 3%
       
        
     • Total = 52%
       
        

Example:

Let’s assume a Job Description (JD) and a Resume have the following matching results:

• JobProfile (35% weight): 80% match → 28%
  
   
• Skills (15% weight): 60% match → 9%
  
   
• Experience (10% weight): 100% match → 10%
  
   
• Degree (5% weight): 50% match → 2.5%
  
   
• JobLocation (10% weight): 100% match → 10%
  
   

Final Proportional Matching Score = 28% + 9% + 10% + 2.5% + 10% = 59.5%

This 59.5% score represents how well the Resume matches the JD based on the proportional weights of the various fields.

Conclusion:

The Proportional Factor ensures that more critical fields in the matching process have a higher influence on the final score. Custom weightage and field importance can be adjusted as per business requirements, providing flexibility in the matching process.

If you need assistance in setting or adjusting weightage or matching configurations, please contact support at support@rchilli.com