What technology is used for identifying relevant and adjacent skills, and what is the baseline for skill extraction and matching?

RChilli employs several advanced techniques to identify relevant and adjacent skills for matching candidates with job opportunities:
 
Skill Extraction: Our internal vast taxonomy covers various domains and sub-domains, ensuring comprehensive coverage of skill sets. Leveraging the power of AI, we extract and enhance skill information with high precision. Using natural language processing (NLP) techniques, it identifies and categorizes skills mentioned in resumes and job descriptions. Please refer to the link
 
Skill Normalization: Skills extracted are normalized to a standardized format or taxonomy, allowing for consistent comparison and matching.
 
Skill Matching: Our matching engine ensures that the skills mentioned in job descriptions match those in resumes. By utilizing aliases, formatted names, and other relevant data points, our system provides accurate and reliable matches. This significantly improves the quality of candidate recommendations and reduces the time spent on manual reviews. Please refer to the link
 
RChilli combines advanced NLP, machine learning, and semantic matching techniques to efficiently and accurately match candidates with job opportunities based on their skills.