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...
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 n...
Co-authors: Kirill Talanine, Jeffrey D. Gee, Rohan Ramanath, Konstantin Salomatin, Gungor Polatkan, Onkar Dalal, and Deepak Kumar Introduction A common cha...
Co-authors: Qiannan Yin, Yan Wang, Divya Venugopalan, Cyrus Diciccio, Heloise Logan, Preetam Nandy, Kinjal Basu, and Albert Cui...
Co-authors: Parag Agrawal, Ankan Saha, Yafei Wang, Aastha Nigam, and Eric Lawrence Figure 1: A heterogeneous social network LinkedIn’s “People You May Know...
Co-authors: Konstantin Salomatin, Kirill Talanine, Barış Özmen, Gungor Polatkan, Linda Fayad, Arjun Kulothungun, and Deepak Kumar Our...
Co-authors: Sneha Chaudhari, Mahesh Joshi, and Gungor Polatkan In part 1 of this series, we shared a high-level overview of our course recommendation engin...
Co-authors: Sneha Chaudhari, Mahesh Joshi, and Gungor Polatkan LinkedIn Learning is a platform where LinkedIn members have the opportunity to develop the r...
On Aug. 15, 2016, the Machine Learning Algorithm team at LinkedIn gave a hands-on tutorial on how to build recommender systems using our recently open-sour...
LinkedIn makes extensive use of item-based collaborative filtering, which showcases relationships between pairs of items based on the...
Search plays an important role in online social networks such as LinkedIn, as it provides an essential mechanism for discovering...