Why are match scores lower when matching multiple resumes to a single job description?

To improve the accuracy and relevance of bulk resume matching, the Search & Match API offers advanced features and customization options:

• Advanced Features in the API:
  
   
  • Ontology Search: Integrate the Ontology search, which uses RelatedSkills and RelatedJobProfiles, to match candidates based on a broader set of relevant terms, improving match relevance even when the resume wording differs from the job description.
    
     
  • Semantic Degree Search: For positions that require specific degrees or qualifications, the Semantic Degree Search feature can help by matching degrees semantically rather than just by name.
    
     
• Both features are available in the Search & Match API to provide more accurate and context-aware matching.
  
   
  • Customizable Weighting: Customize the importance of specific criteria such as skill proficiency, years of experience, and educational qualifications to ensure the AI prioritizes the right aspects during bulk matching.
    
     

For more details on enhancing bulk resume matching with the Search & Match API, refer to the following resources:

• Ontology Search in Search & Match API
• Semantic Degree Search in Search & Match API
• Dynamic Weightage/Scoring in Search & Match API
  
   

Kindly share some examples along with the CVs and job descriptions.

If you need further assistance or custom solutions, feel free to contact RChilli Support at support@rchilli.com.