Co-authors: Bonnie Barrilleaux and Dylan Wang Our 567M members use the LinkedIn feed to talk to each other a lot: more than a million posts, videos, and articles flow through the LinkedIn feed each day. This is the story of how we discovered some growing pains for both creators and viewers in the feed; how we solved the problems with a smarter feed relevance...
relevance Articles
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- Topics:
- relevance,
- Feed Personalization
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Co-authors: Sahin Cem Geyik and Krishnaram Kenthapadi Introduction: Building products that create opportunity Motivated by LinkedIn’s goal of creating economic opportunity for every member of the global workforce and by a keen interest from our customers in making sure that they are able to source diverse talent, we have adopted a “diversity by design”...
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Editor’s note: The use of AI in LinkedIn products has been the subject of multiple press articles and research papers (some highlighted on this blog). With the release of a new LinkedIn Learning course about AI at LinkedIn, we asked our Head of AI, Deepak Agarwal, for a brief overview of what AI is and how it works, geared towards people who are interested in...
- Topics:
- machine learning,
- relevance,
- artificial intelligence
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The Microsoft acquisition of LinkedIn brought many opportunities for combining technologies to do something new and useful. One such...
- Topics:
- relevance,
- machine learning,
- Product Design
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In a previous blog post, we described how a combination of human and machine intelligence keeps LinkedIn’s feed professionally...
- Topics:
- machine learning,
- relevance,
- Feed Personalization
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Co-authors: Vivek Nelamangala and PJ Xiao Introduction to Notifications Social media are computer-mediated platforms that facilitate...
- Topics:
- relevance,
- notifications,
- Kafka,
- Samza