Recommender Systems Articles

  • image-that-says-introducing-the-linkedin-scholars-program-partnering-with-academia-to-solve-real-world-business-challenges

    Introducing the LinkedIn Scholars Program: Partnering with academia to solve real-world business challenges

    May 12, 2022

    At LinkedIn, our engineering teams are constantly working to keep the company at the cutting edge of innovation to deliver value for our members and customers. We recognize that many innovations are happening within academia and partnering more closely with them will strengthen our ability to research, ideate and accelerate the value we are able to deliver to...

  • image-of-community-builder-nodes

    Community building recommender for group chats in LinkedIn Messaging

    April 28, 2022

    Co-authors: Adam Leon and David Golland At LinkedIn, relationships matter. On our platform, we focus on helping our members build and maintain the relationships they have formed throughout their professional career. In LinkedIn Messaging, our members form new and reunite with established communities from their network through group chats - Messaging’s...

  • design-of-real-time-personalization-solution

    Near real-time features for near real-time personalization

    March 1, 2022

    Co-authors: Rupesh Gupta, Sasha Ovsankin, Qing Li, Seunghyun Lee, Benjamin Le, and Sunil Khanal At LinkedIn, we strive to serve the most relevant recommendations to our members, whether that’s a job they may be interested in, a member they may want to connect with, or another type of suggestion. In order to do that, we need to know their intent and preferences,...

  • system-design

    Using Bayesian optimization for balancing metrics in...

    February 4, 2022

    Co-authors: Yunbo Ouyang,Viral Gupta, Kinjal Basu, Cyrus Diciccio, Brendan Gavin, and Lin Guo. Most large-scale recommender systems...

  • lambda-learner-logo

    Lambda Learner: Nearline learning on data streams

    August 11, 2021

    Co-authors: Kirill Talanine, Jeffrey D. Gee, Rohan Ramanath, Konstantin Salomatin, Gungor Polatkan, Onkar Dalal, and Deepak Kumar...

  • example-screenshot-of-people-you-may-know-feature

    Optimizing People You May Know (PYMK) for equity in network...

    August 5, 2021

    Co-authors: Qiannan Yin, Yan Wang, Divya Venugopalan, Cyrus Diciccio, Heloise Logan, Preetam Nandy, Kinjal Basu, and Albert Cui...