Co-authors: Rupesh Gupta, Sasha Ovsankin, Qing Li, Seunghyun Lee, Benjamin Le, and Sunil Khanal At LinkedIn, we strive to serve the most relevant recommendations to our members, whether that’s a job they may be interested in, a member they may want to connect with, or another type of suggestion. In order to do that, we need to know their intent and preferences,...
Recommendations Articles
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- Topics:
- Recommendations,
- Apache Samza,
- Recommender Systems
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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 LinkedIn ecosystem for our new members. This onboarding experience removes the uncertainty of how to get started and effectively use our mobile apps. It also enables our new and less active members to get the most out of the rich and...
- 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 new personalized navigation experience to help members explore new functionality and quickly get to the areas they access the most. In this post, I'll give you a brief idea of how we use LinkedIn's Hadoop infrastructure to power...
- Topics:
- Hadoop,
- Mobile,
- Recommendations,
- Navigation,
- Personalization
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Drop by LinkedIn Headquarters on Wednesday, July 6 for an open data talk by Deepak Agarwal of Yahoo! Research called "Recommender...
- Topics:
- Recommendations,
- Analytics,
- Event