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...
research Articles
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- Topics:
- experimentation,
- research,
- A/B Testing
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Co-authors: Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, and Bo Long Natural language processing (NLP) technologies are widely deployed to process rich natural language text data for search and recommender systems. Achieving high-quality search and recommendation results requires that information, such as user queries and documents, be processed and understood...
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Co-authors: Guillaume Saint-Jacques, Stuart Ambler Last month on this blog, we introduced how we are building inclusive products through A/B testing, something we internally call Project Every Member, and discussed the novel application of inequality A/B testing using the Atkinson index and the use of this technique in the product design process at LinkedIn....
- Topics:
- data science,
- experimentation,
- machine learning,
- research,
- Product Design,
- Data
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Co-authors: Siddharth Dangi, Johnson Jia, Manas Somaiya, and Ying Xuan The LinkedIn feed is the cornerstone of the member experience....
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Co-authors: Guillaume Saint-Jacques, Amir Sepehri, Nicole Li, and Igor Perisic Introduction Previously on this blog, we’ve shared...
- Topics:
- A/B Testing,
- data science,
- experimentation,
- research,
- Product Design,
- Data,
- machine learning,
- T-REX
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In today’s newly-published Emerging Jobs Report, we introduce the “skills genome methodology” to highlight the unique skills for...
- Topics:
- economic graph,
- data science,
- research,
- Data