Co-authors: Sneha Chaudhari, Mahesh Joshi, and Gungor Polatkan In part 1 of this series, we shared a high-level overview of our course recommendation engine for LinkedIn Learning. First, we provided details on the offline and online components of the system design. Later on, we discussed the three main components of the recommendation engine that are key for...
Product Design Articles
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Co-authors: Timothy Santos and Jeremy Lwanga LinkedIn is a mission-driven organization, and we take our mission of “connecting the world's professionals to make them more productive and successful” very seriously. One way we’ve worked toward this goal is through LinkedIn Talent Insights, which first launched in 2018. This is a tool that helps organizations...
- Topics:
- Pinot,
- Product Design
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Co-authors: Sneha Chaudhari, Mahesh Joshi, and Gungor Polatkan LinkedIn Learning is a platform where LinkedIn members have the opportunity to develop the relevant skills needed to achieve their professional goals. The Learning AI team continually advances the large-scale content recommendation engine for LinkedIn Learning, serving over 690M LinkedIn members and...
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Co-authors: Tyler Grant, Armen Hamstra, Cliff Snyder Over the last five years, the number of messages sent on LinkedIn has quadrupled....
- Topics:
- infrastructure,
- Architecture,
- Product Design
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Co-authors: Guillaume Saint-Jacques, Stuart Ambler Last month on this blog, we introduced how we are building inclusive products...
- Topics:
- data science,
- experimentation,
- machine learning,
- research,
- Product Design,
- Data
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The needs of our members and customers have evolved rapidly in recent weeks, and we’ve been focused on evolving alongside them to meet...
- Topics:
- Developer Productivity,
- Product Design