Co-authors: Yi Shen, Claire Liu, and Ali Mohamed Introduction: A brief history of Search Federation at LinkedIn Almost every part of LinkedIn contains data that needs to be discoverable by our members or customers. Use cases range from a member looking up a news article posted by someone in their network to a recruiter looking for candidates on the platform. One...
relevance Articles
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- Topics:
- relevance,
- research,
- Product Design
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Co-authors: Changji Shi and Adriel Fuad LinkedIn’s mission is to connect the world's professionals to make them more productive and successful. Notifications are a powerful way to realize this mission by helping members never miss a conversation or opportunity that matters to them, whether that’s recommendations on jobs, a daily rundown of trending news, or...
- Topics:
- relevance,
- push notifications,
- notifications,
- optimization
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Editor’s Note: Shivani Rao is a Senior Applied Researcher on the LinkedIn Learning Relevance team, where she works on applications of recommendation systems to online learning. She recently spoke at the RE•WORK Women in Machine Intelligence Dinner in San Francisco on the topic of micro-learning and other emerging trends in applied AI in the field of online...
- Topics:
- relevance,
- research,
- Product Design
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Co-authors: Krishnaram Kenthapadi, Stuart Ambler, Xi Chen, Yiqun Liu, Liang Zhang, and Deepak Agarwal Introduction For most job...
- Topics:
- relevance,
- machine learning,
- research,
- Product Design
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Primary authors: Jeff Pasternack (Machine Learning), Nimesh Chakravarthi (Product Engineering) Coauthors: Adam Leon, Nandeesh...
- Topics:
- relevance,
- machine learning,
- Product Design,
- Personalization
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Co-authors: Divye Kapoor, Zheng Li, and Pujita Mathur Introduction As a professional social network serving more than 500 million...