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...
artificial intelligence Articles
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Co-authors: Madhumita Mantri and Tyler James At LinkedIn, ThirdEye is used for business and platform health metrics monitoring, keeping track of a variety of metrics across production infrastructure, AI model performance, or key business indicators (i.e., page view or click count). It’s a key quality assurance system for two reasons: its rule- or model-based...
- Topics:
- artificial intelligence,
- monitoring,
- Pinot,
- machine learning,
- metrics,
- Data
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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: Siddharth Dangi, Johnson Jia, Manas Somaiya, and Ying Xuan The LinkedIn feed is the cornerstone of the member experience....
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Serving the most relevant information for LinkedIn members in the homepage feed requires a massive effort—hundreds of features are...
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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...