How Scoring & Weightage is calculated in RChilli's Search & Match functionality: – RChilli HelpDesk

Here's a detailed explanation of how Scoring & Weightage is calculated in RChilli's Search & Match functionality:

🔍 Scoring & Weightage in Search & Match

RChilli's Search & Match Engine 3.0 applies a two-tiered scoring mechanism to rank candidates or jobs based on how well they match specified search criteria or documents. This mechanism is designed to be customizable and aligned with user priorities, helping recruiters make faster and more accurate hiring decisions.

🧠 Two-Layer Scoring Logic

A. Default Logic (Baseline Scoring)

This layer includes predefined weights assigned to key attributes such as:

Skills
Location
Education
Domain
Job Title
Experience

It is suitable for:

First-time users
Clients who do not require specific customizations

The logic works out-of-the-box and ensures immediate usability for Search & Match operations.

B. Configurable Logic (Dynamic Scoring)

This layer enables clients to manually adjust the weightage of various criteria via the front-end interface. For example:

Assign 60% weight to Skills
Assign 10% weight to Location
Assign 15% weight to Education, etc.

While the backend scoring engine remains fixed, these front-end adjustments dynamically influence the final scores returned by the API, making the results tailored to your business preferences.

⚙️ How It Works Technically

Input Parsing:
- The API parses job descriptions or resumes.
- It identifies and normalizes entities using taxonomy (skills, job titles, domains, etc.).
Attribute Matching:
- Extracted values from the input are compared against the indexed data.
- Attributes are matched and scored based on:
  - Exact matches
  - Semantic matches (via taxonomy)
  - Weightage set by user
Final Score Calculation:
- Each attribute’s match is multiplied by its configured weight.
- A composite score is generated.
- Top-ranked results are returned based on descending scores.

🔁 Maintenance & Refresh

Taxonomy updates (new skills, job titles, multilingual support) are refreshed monthly to ensure scoring logic remains current with evolving job markets.
This keeps scoring fair and relevant across industries and geographies.

📘 Helpful Links for Deeper Understanding

🎯 Why This Matters

Custom scoring logic empowers recruiters to:

Focus on “must-have” vs. “nice-to-have” attributes.
Optimize matches based on business context.
Improve quality-of-hire and reduce time-to-hire.

If you’d like help setting custom weightage in your environment, feel free to contact support@rchilli.com