Google NumRange does not work in Image Search. Geographic keywords work well state, city, address, zipcode or phone area code. Put together a string of job keywords (titles, skills, etc.), then run it on Google Images. Here’s how to use it to uncover “hidden” candidates. With Google’s “Face” Type Filter, recruiters can kick back and let Google’s advanced facial recognition software do all the heavy lifting. Recruiters accomplish this by looking for keywords like “bio” or “sales team”. As recruiters, so much of our time is spent trying to find information that would pertain to “people” or potential candidates. New Google Image Search Feature Targets Human Capital One feature that is particularly useful to recruiters is the “Face” Type Filter.
Now you can filter down results by Color, Type, Image Size, and more. Since 2006, Google has been rolling out some of that new technology to enhance its Google Advanced Image Search. Google Starts to Enhance Its Image Search Google set the stage to search beyond keywords with their 2006 acquisition of Neven Vision, a software company that specializes in image recognition.
So, what are some strategies to uncover these additional candidates? What makes finding relevant information so challenging is that the web is made up of 100% user-generated content. In fact, some candidates may not even use any normal permutations and may simply upload a resume titled “Dave’s Experience” or “Dave-Edited Draft1”. For each candidate search, there will be candidates that can not be found. The Restrictions of Text-Only Based Search When it comes to Boolean searches, they all come with inherent limitations. Or you could add more keywords to your search to find a “curriculum vitae” and even more keywords if you want to find a candidate “Bio”. For example, running an “intitle:resume” search on Google will find resumes.
Use Image Search to Find “Hidden” Candidates As recruiters, we spend a lot of time constructing our search strings to target “human capital”.
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