We are constantly striving to improve the experience on LinkedIn for our members and customers, with research and experimentation, such as A/B Testing, playing a key role in that work. Nearly a decade ago, I discussed the importance of these techniques in our journey to create economic opportunity for every member of the global workforce. Today we have a strong...
experimentation Articles
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- Topics:
- experimentation,
- research,
- A/B Testing
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Co-authors: Min Liu, Vangelis Dimopoulos, Elise Georis, Jialiang Mao, Di Luo, and Kang Kang The LinkedIn ecosystem drives member and customer value through a series of marketplaces (e.g., the ads marketplace, the talent marketplace, etc.). We maximize that value by making data-informed product decisions via A/B testing. Traditional A/B tests on our marketplaces,...
- Topics:
- experimentation,
- Data,
- A/B Testing
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Editor’s note: This blog post is the first in a series providing an overview and history of LinkedIn’s experimentation platform. At any given time, LinkedIn’s experimentation platform is serving up to 41,000 A/B tests simultaneously on a user population of over 700 million members. Operation at such a scale is enabled with the LinkedIn Targeting, Ramping, and...
- Topics:
- scale,
- A/B Testing,
- infrastructure,
- T-REX,
- experimentation
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Co-authors: Guillaume Saint-Jacques, Stuart Ambler Last month on this blog, we introduced how we are building inclusive products...
- Topics:
- data science,
- experimentation,
- machine learning,
- research,
- Product Design,
- Data
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Co-authors: Xiang Zhang, Estella Pham, and Ke Wu Identity services are critical systems that serve data on profile and member settings...
- Topics:
- A/B Testing,
- Architecture,
- experimentation,
- Performance,
- ESPRESSO,
- T-REX,
- Data
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Serving the most relevant information for LinkedIn members in the homepage feed requires a massive effort—hundreds of features are...