At LinkedIn, our mission is to connect the world’s professionals to make them more productive and successful. Part of the way we achieve this goal is by providing a platform where communities connected by common interests or shared experiences can form. Several features—for instance, Groups—help foster the growth of these communities. However, an integral tool...
relevance Articles
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- 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 posting that get more targeted over time based on your feedback. We're now rolling out this feature globally alongside an updated version of the algorithm powering it. This new algorithm, which is used throughout the Jobs...
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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...
- Topics:
- relevance,
- economic graph,
- machine learning,
- research,
- Data,
- Product Design
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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...
- Topics:
- relevance,
- Data,
- Feed Personalization
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Co-authors: Sahin Cem Geyik and Krishnaram Kenthapadi Introduction: Building products that create opportunity Motivated by LinkedIn’...
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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:
- relevance,
- artificial intelligence,
- machine learning,
- Data