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...
relevance Articles
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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. It’s where our members post ideas, career news, questions, and jobs in an array of formats, including short text, long-form articles, images, and videos. The Feed AI Team’s mission is to help LinkedIn’s members discover the most...
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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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At LinkedIn, our mission is to connect the world’s professionals to make them more productive and successful. Part of the way we...
- Topics:
- artificial intelligence,
- relevance,
- Feed Personalization ,
- Data
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Co-authors: Benjamin McCann and Nadeem Anjum Last June, we introduced Recommended Matches: candidate recommendations for your open job...