Co-authors: Xi Chen, Yiqun Liu, Liang Zhang, and Krishnaram Kenthapadi Online professional social networks and job platforms, such as LinkedIn, play a key role in ensuring an efficient labor marketplace by connecting talent (job seekers) with opportunities (jobs). Studies show that salary is an important factor when looking for new opportunities, but salary...
relevance Articles
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- Topics:
- relevance,
- economic graph,
- machine learning,
- research
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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...
- 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...
- 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