Data Articles

  • a-graph-showing-keyword-search-query-p95-latency-with-increasing-qps-for-different-workloads

    Text analytics on LinkedIn Talent Insights using Apache Pinot

    June 16, 2021

    Co-authors: Siddharth Teotia and Tim Santos Introduction LinkedIn Talent Insights (LTI) is a platform that helps organizations understand the external labor market and their internal workforce, and enables the long term success of their employees. Users of LTI have the flexibility to construct searches using the various facets of the LinkedIn Economic Graph...

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    An update on Responsible AI at LinkedIn

    May 24, 2021

    Co-authors: Parvez Ahammad, Kinjal Basu, Shaunak Chatterjee, Sakshi Jain, Ryan Rogers, and Guillaume Saint-Jacques At LinkedIn, our guiding principle is “Members First.” It ensures we honor our responsibility to protect our members and maintain their trust in every decision we make, and puts their interests first. A key area where we apply this value in...

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    Greykite: A flexible, intuitive, and fast forecasting library

    May 13, 2021

    Co-authors: Reza Hosseini, Albert Chen, Kaixu Yang, Sayan Patra, Rachit Arora, and Parvez Ahammad In this blog post, we introduce the Greykite library, an open source Python library developed to support LinkedIn’s forecasting needs. Its main forecasting algorithm, called Silverkite, is fast, accurate, and intuitive, making it suitable for interactive and...

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    How to build an effective professional network on LinkedIn:...

    May 4, 2021

    Co-authors: YinYin Yu, Guillaume Saint Jacques, and Paul Matsiras Introduction In 2019, LinkedIn announced an initiative to close the...

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    Solving for the cardinality of set intersection at scale...

    April 16, 2021

    Co-authors: Vincent Wang, Siddharth Teotia, Manoj Thakur, and Mayank Shrivastava As our LinkedIn Marketing Solutions Blog recently...

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    Using the LinkedIn Fairness Toolkit in large-scale AI...

    February 8, 2021

    Co-authors: Preetam Nandy, Yunsong Meng, Cyrus DiCiccio, Heloise Logan, Amir Sepehri, Divya Venugopalan, Kinjal Basu, and Noureddine...