Primary authors: Jeff Pasternack (Machine Learning), Nimesh Chakravarthi (Product Engineering) Coauthors: Adam Leon, Nandeesh Rajashekar, Birjodh Tiwana, Bing Zhao Introduction Communication on the world’s largest professional network is integral to its success. At LinkedIn Messaging, we are working hard to bring value to our members by providing innovative...
relevance Articles
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- Topics:
- relevance,
- machine learning,
- Product Design,
- Personalization
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Co-authors: Divye Kapoor, Zheng Li, and Pujita Mathur Introduction As a professional social network serving more than 500 million worldwide members, LinkedIn is the premier destination for professional conversations. We have a wide variety of posts that attract significant engagement, and some of these posts go viral. These posts attract likes and comments in...
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Co-authors: Vivek Nelamangala and Val Markovic Editor’s note: In Part 1 of this series, we talked about how we built the Activity Graph and how we use it to deliver features to Activity searcher machines. In this post, we’ll talk about how we store this data for efficient storage and retrieval. Quick background on FollowFeed FollowFeed is the main Activity...
- Topics:
- relevance,
- Feed Personalization
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Co-authors: Val Markovic and Vivek Nelamangala Serving a feed of relevant, personalized content to 500 million members is a massive...
- Topics:
- relevance,
- Feed Personalization
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Co-authors: Rushi Bhatt and Bari Saltman LinkedIn’s home feed is the starting point of a member’s journey on LinkedIn. Millions of...
- Topics:
- relevance,
- machine learning,
- Feed Personalization
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Coauthors: Shivani Rao, Gungor Polatkan We recently launched LinkedIn Learning, an online learning platform that enables students and...
- Topics:
- machine learning,
- relevance,
- Product Design