Product Design Articles

  • intent-classifier-illustration

    How Natural Language Processing Helps LinkedIn Members Get Support Easily

    April 30, 2019

    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)...

  • Under The Hood: Learning With Documents

    April 24, 2019

    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...

  • talentai1

    The AI Behind LinkedIn Recruiter Search and Recommendation Systems

    April 22, 2019

    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...

  • reactions1

    Engineering LinkedIn Reactions

    April 17, 2019

    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...

  • calendarui1

    Open Sourcing our Day View UI Library for Making Meetings...

    March 21, 2019

    Co-authors: Greg Lundien, Akif Hossain, Daniel Hsu, and Hannah Cutler   Our members leverage LinkedIn Messenger for a number of use...

  • jobsai1

    Learning Hiring Preferences: The AI Behind LinkedIn Jobs

    February 12, 2019

    Co-authors: Benjamin McCann and Nadeem Anjum   Last June, we introduced Recommended Matches: candidate recommendations for your open...