We've been going through tens of thousands of search results and testing several relevancy algorithms and we're not getting any closer. As thesocialCV.com is building more than 600 million profiles, it's kind of important. So we're going to let the customer decide.
Let us know, what do you prefer?
Advanced Boolean Queries
Semantic Skills Extraction and Matching
Social Authority Rankings
Job Title Match
Click-Thru Data from Live Searches
User Generated Ratings
Career Path Match
or other approaches, we're happy to make them all available but we need your help.
Here's an example of one relevancy system we've developed, TalentRank.
We know there must be other, maybe better, approaches. The key is to turn that gut instinct a recruiter has when they scan a CV (their blink response) and turn it into an algorithm that can automatically find the best candidates. What's more important: Job Title or Skills relevancy? The quality of the company or the quality of the education? Professional engagement or are they an engaging professional? There are hundreds of dimensions that can be used to evaluate a CV.
We need to find a way to turn the analog gut feel to binary.