As members explore the many products of LinkedIn, including the feed, homepage, Learning, Recruiter, and Sales Navigator, to name a few, they often experience new exciting features, which, from time to time, may lead to questions around use. To help our members and deliver the assistance they need, we use deep learning-powered Natural Language Processing (NLP)...
Product Design Articles
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Co-authors: Anurag Rawat and Kirsten Rauffer LinkedIn Learning aims to be the world’s most engaging learning platform. Learning content comes in many different shapes and sizes, and as such, our team is continually expanding the types of content that we support. Today, educational videos make up a majority of the content on LinkedIn Learning. However, we’ve...
- Topics:
- Accessibility,
- Product Design,
- Open Source
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Co-authors: Qi Guo, Sahin Cem Geyik, Cagri Ozcaglar, Ketan Thakkar, Nadeem Anjum, and Krishnaram Kenthapadi LinkedIn Talent Solutions serves as a marketplace for employers to reach out to potential candidates and for job seekers to find career opportunities. A key mechanism to help achieve these goals is the LinkedIn Recruiter product, which helps recruiters...
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As you casually scroll through a news feed, you may “like” a post here and there. “Liking” has become so second-nature that we don’t...
- Topics:
- Product Design
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Co-authors: Greg Lundien, Akif Hossain, Daniel Hsu, and Hannah Cutler Our members leverage LinkedIn Messenger for a number of use...
- Topics:
- Mobile,
- Android,
- iOS,
- Product Design,
- Open Source
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Co-authors: Benjamin McCann and Nadeem Anjum Last June, we introduced Recommended Matches: candidate recommendations for your open...