Tag: recruitment

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engineering.linkedin.com > Cagri Ozcaglar, Ketan Thakkar, Krishnaram Kenthapadi, Nadeem Anjum, Qi Guo and Sahin Cem Geyik
The AI Behind LinkedIn Recruiter search and recommendation systems
22 apr. 2019 - LinkedIn Talent Solutions serves as a marketplace for employers to reach out to potential candidates and for job seekers to find career opportunities. A key mechanism to help achieve these goals is the LinkedIn Recruiter product, which helps recruiters and hiring managers source suitable talent and enables them to identify “talent pools” that are optimized for the likelihood of making a successful hire. In this blog post, we will first highlight a few unique information retrieval, system, and modeling challenges associated with talent search and recommendation systems. We will then describe how we formulated and addressed these challenges, the overall system design and architecture, the issues encountered in practice, and the lessons learned from the production deployment of these systems at LinkedIn.
 · artificial-intelligence · linkedin · project-hva · recruitment

engineering.linkedin.com > Deepak Agarwal
An Introduction to AI at LinkedIn
9 oct. 2018 - Back in 2005, I was working in my first job at AT&T Bell Labs. The telecommunications industry was struggling due to price wars and increased competition from wireless carriers. I was left wondering what I should do as I watched colleague after colleague slowly leave to find other positions in the booming consumer internet industry spearheaded by players like Google and Yahoo!.
 · artificial-intelligence · linkedin · project-hva · recruitment

About O*NET
The O*NET Program is the nation's primary source of occupational information. Valid data are essential to understanding the rapidly changing nature of work and how it impacts the workforce and U.S. economy. From this information, applications are developed to facilitate the development and maintenance of a skilled workforce.
 · project-hva · recruitment

locusmag.com > Cory Doctorow
Past Performance is Not Indicative of Future Results
2 nov. 2020 - In “Full Employment“, my July 2020 column, I wrote, “I am an AI skeptic. I am baffled by anyone who isn’t. I don’t see any path from continuous improvements to the (admittedly impressive) ‘machine learning’ field that leads to a general AI any more than I can see a path from continuous improvements in horse-breeding that leads to an internal combustion engine.”
 · antropology · artificial-intelligence · correlation-causation · machine-learning · project-hva · recruitment · statistics · thick-description

www.californialawreview.org > Andrew D. Selbst and Solon Barocas
Big Data’s Disparate Impact
1 jun. 2016 - Advocates of algorithmic techniques like data mining argue that these techniques eliminate human biases from the decision-making process. But an algorithm is only as good as the data it works with. Data is frequently imperfect in ways that allow these algorithms to inherit the prejudices of prior decision makers. In other cases, data may simply […]
 · algorithmic-bias · black-struggle · data-mining · fairness · project-hva · racist-technology · recruitment