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Checkster receives ONREC's "2008 Game Changing Recruiting Technology" award

By Yves Lermusi

We are pleased to announce a recognition we received last week at the ONREC show.

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Video Interview about Checkster

By Yves Lermusi

For those of you who are unclear about what Checkster is doing, check out the interview that Hyveup did on Checkster recently:

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Participate in our Survey

By Yves Lermusi

Make reference Checking a strong and powerful tool for your organization. Avoid legal pitfalls, save time, and benchmark your organization. To do this:

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Recruiting at Google in India

By Yves Lermusi

While in India recently, I had the opportunity to meet the head of Google India, Shailesh Rao. India is in an economic boom with a GDP growth of 9 percent (compared to 3 percent with the US) in an extremely competitive talent market. It is interesting to see how Google, one of the most innovative companies today, is addressing the talent challenge. In short, what can we learn from this smart and innovative company about how they address the talent challenge in a hyper growth market?

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WANTED: "Out-of-the-box talent management practices"

By Yves Lermusi

The latest report from the Economist Intelligence Unit clearly states: Tomorrow will be a struggle for a good workforce; It is a talent War!

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How to successfully look for a job - where are people looking?

By Yves Lermusi

If you are a job seeker, you’re probably wondering what works best for finding a job?
Here is a list of the top 3 things that lead to a successful job search:
1. Referrals (from current employees, friends, or customers of the employer)
2. Employer Website
3. Online Job database

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Reference Check Legal Solution

By Yves Lermusi

A good article titled, “The Rash Of Problems Over Job References,” published in the March 10 edition of the National Law Journal, discusses problems found in traditional reference checks. In short, it explains how employers are damned if they do, and damned if they don't.

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Neurological foundation of good performance feedback

By Yves Lermusi

Reinforcement Learning is a well accepted model in the computational community.
It was originally created by the artificial intelligence community as a model to understand and improve learning. The model’s core principle is based on a reward signal. Rewards in the animal world can be juice, food, or excitation of a pleasure zone in the brain. What we find fascinating is the fact that neuroscientists have been using Reinforcement Learning at the center of their model for understanding the brain, and it seems to be working!

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The Experience Trap

By Yves Lermusi

Often we see individuals trapped by their past experience. They want to change jobs but don’t have the “relevant” experience. Recruiters and managers don’t like taking risks and often prefer to hire someone who is not only a high performer, but also has relevant experience.

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