Co-authors: Siddharth Teotia and Tim Santos Introduction LinkedIn Talent Insights (LTI) is a platform that helps organizations understand the external labor market and their internal workforce, and enables the long term success of their employees. Users of LTI have the flexibility to construct searches using the various facets of the LinkedIn Economic Graph...
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In March, LinkedIn joined the recently announced Mobile Native Foundation (MNF), a Linux Foundation project launched with the support of Airbnb, Corellium, Elotl, Flare.build, GitHub, GogoApps, Haystack, Line, Lyft, Microsoft, screenplay.dev, Slack, Solid Software, and Spotify. The goal of the Mobile Native Foundation is to disseminate knowledge and tooling...
- Topics:
- Mobile,
- iOS,
- Testing,
- Open Source
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Co-authors: Ian Ackerman and Saurabh Kataria Editor’s Note: Multi-objective optimization (MOO) is used for many products at LinkedIn (such as the homepage feed) to help balance different behaviors in our ecosystem. There are two parts to how we work with multiple objectives: the first is about training high-fidelity models to predict member behavior (e.g.,...
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Co-authors: Konstantin V. Shvachko, Chen Liang, and Simbarashe Dzinamarira LinkedIn runs its big data analytics on Hadoop. During the...
- Topics:
- scale,
- Hadoop,
- Distributed Systems,
- infrastructure
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Co-authors: Parvez Ahammad, Kinjal Basu, Shaunak Chatterjee, Sakshi Jain, Ryan Rogers, and Guillaume Saint-Jacques At LinkedIn, our...
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Co-authors: Reza Hosseini, Albert Chen, Kaixu Yang, Sayan Patra, Rachit Arora, and Parvez Ahammad In this blog post, we introduce the...
- Topics:
- data science,
- machine learning,
- Data,
- Open Source