XLNT is the end-to-end A/B testing platform used at LinkedIn to not only solve the day-to-day A/B testing needs across the company, but also sophisticated use cases that are prevalent in a social network setting. With all the lessons learned from using the platform, we decided to take an in-depth look at how we approach A/B testing and write a technical paper....
A/B Testing Articles
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- Topics:
- KDD,
- A/B Testing,
- xlnt
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“Doubt the conventional wisdom unless you can verify it with reason and experiment” - Steve Albini At LinkedIn, we experiment with new ideas before trusting our instincts. Experimentation plays an important role in product innovation and business growth. It is an essential ingredient to greater member happiness, stronger business impact and higher talent...
- Topics:
- A/B Testing
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Making data driven decisions through experimentation is an extremely important part of the culture at LinkedIn. It’s deeply ingrained in our development process and has always been a core part of Linkedin’s DNA. We test everything from complete redesigns of our homepage, to back-end relevance algorithm changes and even infrastructure upgrades. It’s how we...
- Topics:
- A/B Testing,
- data driven,
- xlnt
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Last fall we introduced Pinot, LinkedIn’s real-time analytics infrastructure, that we built to allow us to slice and dice across...
- Topics:
- Pinot,
- A/B Testing,
- infrastructure,
- Analytics,
- Open Source
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A/B testing is an indispensable driver behind LinkedIn’s data culture. We run more than 200 experiments in parallel daily and that...
- Topics:
- A/B Testing
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At LinkedIn, we strive to build products that our members love. To help make informed product decisions, we do a lot of A/B testing....
- Topics:
- Mobile,
- Android,
- A/B Testing,
- iOS