Serving the most relevant information for LinkedIn members in the homepage feed requires a massive effort—hundreds of features are used to personalize content for hundreds of millions of members. For each homepage visit, our machine learning models have to find and surface the best activity across a member's whole network, and they have to source that content...
artificial intelligence Articles
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Our members place their trust in us, and expect and deserve a safe and trusted community where they can express themselves professionally. We are constantly investing in a variety of systems (Automated Fake Account Detection at LinkedIn, Defending Against Abuse at LinkedIn’s Scale, and How We’re Protecting Members From Fake Profiles) to help automatically detect...
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As the year draws to a close, we’re taking a look back at ten of our most popular 2019 articles on the LinkedIn Engineering Blog. Examining the list, it’s clear that topics pertaining to open source and artificial intelligence are some of the most popular, as are posts that look at how we tackle technical challenges at scale. We’re excited to share new progress...
- Topics:
- artificial intelligence,
- Pinot,
- Feed Personalization ,
- Security,
- Kafka,
- SRE
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Co-authors: Nanna Ericson and Tetyana Bruevich Over the last few years, LinkedIn has rolled out several features that provide instant...
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Co-authors: Stuart Ambler, Ahsan Chudhary, Mark Dietz, Sahin Cem Geyik, Krishnaram Kenthapadi, Ian Koeppe, Varun Mithal, Guillaume...
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Co-authors: Ali Mohamed and Zheng Li LinkedIn’s feed stands at the center of building global professional knowledge-sharing...