Co-authors: Benjamin Le, Daniel Gmach, Aman Grover, Roshan Lal, Jerry Lin, Austin Lu, Qingyun Wan, and Leighton Zhang Feature engineering is foundational for building artificial intelligence (AI) that powers products at LinkedIn. Recently, “representation learning” or “feature learning” has started replacing manually engineered features, as they provide...
Personalization Articles
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Our logo is inspired by the chameleon: You can enable personalization on your ranking model with GDMix, bringing a personalized experience to every user, like a chameleon that can match its surroundings. Co-authors: Jun Shi, Chengming Jiang, Aman Gupta, Mingzhou Zhou, Alice Wu, Yunbo Ouyang, Charles Xiao, Jun Jia, Haichao Wei, Huiji Gao, and Bo Long July 2021:...
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Primary authors: Jeff Pasternack (Machine Learning), Nimesh Chakravarthi (Product Engineering) Coauthors: Adam Leon, Nandeesh Rajashekar, Birjodh Tiwana, Bing Zhao Introduction Communication on the world’s largest professional network is integral to its success. At LinkedIn Messaging, we are working hard to bring value to our members by providing innovative...
- Topics:
- relevance,
- machine learning,
- Product Design,
- Personalization
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Join us for a talk on LinkedIn's approach to search, how we deliver highly personalized results at scale and some of our some recent...
- Topics:
- machine learning,
- Search,
- Personalization
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Recently released LinkedIn feature on the iPhone, Android, and mobile web platforms contains a step-by-step guided flow to the...
- Topics:
- Mobile,
- Recommendations,
- Onboarding,
- Personalization
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LinkedIn just released completely redesigned versions of its iPhone and Android apps. As part of the redesign, we are introducing a...
- Topics:
- Hadoop,
- Mobile,
- Recommendations,
- Navigation,
- Personalization