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”...
machine learning Articles
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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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Co-authors: Jonathan Hung, Keqiu Hu, and Anthony Hsu LinkedIn heavily relies on artificial intelligence to deliver content and create economic opportunities for its 575+ million members. Following recent rapid advances of deep learning technologies, our AI engineers have started adopting deep neural networks in LinkedIn’s relevance-driven products, including...
- Topics:
- Hadoop,
- machine learning,
- TensorFlow,
- Open Source
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To maintain a safe and trusted professional community on LinkedIn, we require that every LinkedIn profile must uniquely represent a...
- Topics:
- machine learning,
- Security
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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