What are the limitations of keyword-based matching in resume-to-job description alignment?

The inconsistencies you're seeing are likely due to the limitations of keyword-based matching in the demo panel within the MyAccount portal. For better results and more accurate matching, we recommend using the API instead of the demo interface. The API offers advanced features that improve matching precision, particularly in complex scenarios like resume-to-job description alignment.

Here are two key features available through the API to address these issues:

1. Ontology Search:

In the Search & Match API, we use an Ontology-based search method. Unlike traditional search methods that rely on exact keyword matches, Ontology search incorporates RelatedSkills and RelatedJobProfiles, allowing the system to match based on semantic relevance. This feature significantly improves the matching accuracy by considering synonyms, related terms, and broader skill sets associated with the keywords.

You can read more about Ontology Search here:
Ontology Search in Search & Match API

2. Semantic Degree Search for Education Matching:

Another advanced feature in the Search & Match API is the Semantic Degree Search, which enhances the accuracy of degree matching between job descriptions (JDs) and resumes. Instead of only matching exact degree names, the system also considers related degrees that carry similar meanings, expanding the matching criteria semantically. This greatly improves matching precision when job requirements involve educational qualifications.

You can learn more about the Semantic Degree Search feature here:
  Semantic Degree Search in Search & Match API

By utilizing these advanced features in the Search & Match API, you will achieve a more reliable and consistent matching process.

For further assistance or if you'd like to explore these features, feel free to reach out to RChilli support at support@rchilli.com.