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,...

Posts by Rupesh Gupta
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- Topics:
- Recommendations,
- Apache Samza,
- Recommender Systems
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Co-authors: Rupesh Gupta and Lingjie Weng LinkedIn’s mission is to connect the world’s professionals to make them more productive and successful. Becoming more productive and successful is a lifelong journey. In this journey, members leverage LinkedIn in different ways, such as to build their professional networks, learn new skills, showcase their profiles, find...
- Topics:
- artificial intelligence,
- machine learning
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Less Is More: Optimizing Email Volume Part 2
Rupesh Gupta July 26, 2016
In Part 1 of this series, we introduced the problem of email volume optimization. We showed that on the one hand, email is among the principal drivers of engagement, but on the other hand, excessive email volume results in increased negative responses such as members unsubscribing from an email type or reporting emails as spam. We discussed an approach for email...
- Topics:
- Multi-Objective Optimization,
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Less Is More: Optimizing Email Volume Part 1
Rupesh Gupta June 6, 2016
In July 2015, we announced that we are reducing email volume so that members receive only the most relevant email communication from...
- Topics:
- Multi-Objective Optimization,
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Hiring Relevance Science Engineers at LinkedIn
Rupesh Gupta March 7, 2016
I get asked a lot of questions by my friends about relevance science and engineering at LinkedIn. Why has relevance science become so...
- Topics:
- relevance,
- engineering culture,
- Hiring,
- Relevance Science