Deep Learning Articles

  • Ads CTR Graphic

    Challenges and practical lessons from building a deep-learning-based ads CTR prediction model

    August 29, 2022

    Co-authors: Ruoyan Wang, Sirou Zhu, Chengming Jiang Introduction At LinkedIn, our ads business is powered by click-through-rate (CTR) prediction, a core machine learning model. CTR prediction estimates the probability of clicks between a LinkedIn member and a potential advertisement. That probability is then used for ads auctions, which decide the order of ads...

  • an-illustration-showing-the-new-multi-task-setup

    Homepage feed multi-task learning using TensorFlow

    June 3, 2021

    Co-authors: Ian Ackerman and Saurabh Kataria Editor’s Note: Multi-objective optimization (MOO) is used for many products at LinkedIn (such as the homepage feed) to help balance different behaviors in our ecosystem. There are two parts to how we work with multiple objectives: the first is about training high-fidelity models to predict member behavior (e.g.,...