artificial intelligence Articles

  • system-design

    Using Bayesian optimization for balancing metrics in recommendation systems

    February 4, 2022

    Co-authors: Yunbo Ouyang,Viral Gupta, Kinjal Basu, Cyrus Diciccio, Brendan Gavin, and Lin Guo. Most large-scale recommender systems like newsfeed ranking, people recommendations, job recommendations, etc., have multiple objectives that need to be simultaneously optimized. These objectives may include things like user engagement, diversity, novelty, freshness, or...

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    How our content abuse defense systems work to keep members safe

    January 31, 2022

    To create a safe and trusted experience for our members, our Trust & Safety (TnS) team strives to keep content that violates our Professional Community Policies off of LinkedIn. In this blog post, we’ll provide insight into how we try to ensure conversations remain respectful and professional on our platform. Content is created and shared on LinkedIn in large...

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    A closer look at how LinkedIn integrates fairness into its AI products

    January 13, 2022

    Co-authors: Heloise Logan, Preetam Nandy, Kinjal Basu, and Sakshi Jain At LinkedIn, we work constantly to improve our platform with evolving AI models and systems. Delivering fair and equitable experiences for each of our nearly 800M members is paramount to this work, and we have designed our AI systems in ways that help us provide the right protections,...

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    Completing a member knowledge graph with Graph Neural...

    December 1, 2021

    Co-authors: Jaewon Yang, Jiatong Chen, and Yanen Li Introduction LinkedIn members are able to enrich their profiles with information...

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    How our AI is helping members navigate the Great Reshuffle

    October 27, 2021

    Co-authors: Liangjie Hong, Alexandre Patry, Benjamin Le, and Fei Chen Spurred on by the COVID-19 pandemic and the many changes it has...

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    Our approach to building transparent and explainable AI...

    October 7, 2021

    Co-authors: Parvez Ahammad, Kinjal Basu, Yazhou Cao, Shaunak Chatterjee, David Durfee, Sakshi Jain, Nihar Mehta, Varun Mithal, and...