论文标题

会员首先要大规模启用LinkedIn的劳动力市场见解

A Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale

论文作者

Rogers, Ryan, Cardoso, Adrian Rivera, Mancuhan, Koray, Kaura, Akash, Gahlawat, Nikhil, Jain, Neha, Ko, Paul, Ahammad, Parvez

论文摘要

我们描述了从LinkedIn的经济图中报告劳动力市场见解的私有化方法,包括用于保护成员隐私的差异私人算法。报告显示,谁是最高雇主,以及在特定国家/地区和行业中的最高工作和技能。我们希望这些数据能够帮助政府和公民在Covid-19大流行期间跟踪劳动力市场趋势,同时也保护我们的会员的隐私。

We describe the privatization method used in reporting labor market insights from LinkedIn's Economic Graph, including the differentially private algorithms used to protect member's privacy. The reports show who are the top employers, as well as what are the top jobs and skills in a given country/region and industry. We hope this data will help governments and citizens track labor market trends during the COVID-19 pandemic while also protecting the privacy of our members.

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