What Did The Machine Learn?

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Have you seen the heated Facebook discussions where our colleagues suggest the percentage of a Sourcer’s research work that will be soon automated – anywhere from 5% to 80%? Some say that we are in a dying profession. The future will show, but I am currently with the “5%” crowd. I do agree that some other jobs will change or …

Do Not Procrastinate – Refresh Your Recruitment Data

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Is Recruitment Data in your ATS (Applicant Tracking System) outdated? The answer is “yes” (or “yes, unfortunately”) for the vast majority of us. We also realize that updating the records would be beneficial, because: People with whom we were in touch or who applied in the past (those in our ATS) are more likely to respond if we contact them …

The Opposite Bug in LIR

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  Two days after I published an astonishing discovery on the space ” ” providing extra results, LinkedIn Recruiter quietly changed its search algorithm – again! (Big thanks to several colleagues who tried the searches, no longer saw the same results as I had posted, and alerted me). Could be, LinkedIn fixed the LinkedIn Recruiter problem? After the change, both examples in …

Spaced Out!

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If you use LinkedIn Recruiter, I highly recommend at least skimming this post and the next. LinkedIn Recruiter fooled me this time! I was searching for managerial level people, putting the word “manager” in the title and varying other parameters. In a while, I have started feeling suspicious about the number of results. It seemed unreasonably small. After a bit …

Don’t Save the String

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It’s funny that people in our industry would talk about Boolean Strings as if those strings were “heavy”, complex, and lasting. Just think “building a string”, “crafting a string” and “saved Boolean Strings”, “Boolean Strings storage”. Boolean Strings storage is serious business. But you know what? Saving Google Boolean search strings is just like saving the sentences you say so …

How to Fight the Lack of Features in Recruiter

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Given the UI design for advanced people search dialog in LinkedIn Recruiter (that I would call user-unfriendly), there couldn’t possibly be a clean resolution for the vague “companies or boolean” field: Indeed, if there is one word entered, which is a company name (like Apple), will it be looking for employees of that particular company (Apple) or for people from …

You’ve heard of SourceCon Austin (Guest Post by Dave Galley)

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This is a guest post from my business partner, a brilliant Sourcer, from whom I learn every day, David Galley. David will be speaking at the upcoming SourceCon in Austin. If you are going, please say “hi” to him, and I certainly recommend attending his talk. -Irina Now get ready for Wondering, “What the #@$%*! does that mean?” You are not …

Where the (Wild) Files Are

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When data is exposed to search engines due to an incorrect site configuration, that data becomes available for Sourcing for anyone who knows how to find it – including you and me. About ten years ago, Sourcing techniques like “flipping” or “peeling” still worked, providing creative Researchers with the data to find and parse – sometimes, folders full of files with …

Melissa Data Goes to Work

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In his post on SourceCon, @RandyBailey wrote about sourcing using Melissadata.com‘s service Email to Address. The service provides the “associated” (physical) addresses based on an email, and vise versa – it also shows names, emails, and, often, phone numbers based on a street address. I was exploring the site in relation to our “Data cleaning and enrichment” webinar. Let me share another, …