Blog posts about Recommender Systems

Co-authors: Adam Leon and David Golland At LinkedIn, relationships matter. On our platform, we focus on helping our m...

Co-authors: Rupesh Gupta, Sasha Ovsankin, Qing Li, Seunghyun Lee, Benjamin Le, and Sunil Khanal At LinkedIn, we striv...

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

In this post, we describe a technique for providing machine learning feature stores with sublinear space... ...

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

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

Co-authors: Parag Agrawal, Ankan Saha, Yafei Wang, Aastha Nigam, and Eric Lawrence Figure 1: A heterogeneous social n...

Co-authors: Konstantin Salomatin, Kirill Talanine, Barış Özmen, Gungor Polatkan, Linda Fayad, Arjun Kulothungun, and ...

Co-authors: Sneha Chaudhari, Mahesh Joshi, and Gungor Polatkan In part 1 of this series, we shared a high-level overv...

Co-authors: Sneha Chaudhari, Mahesh Joshi, and Gungor Polatkan LinkedIn Learning is a platform where LinkedIn members...

Diving deeper into the tools that allow us to power our recommendation engines. ...

All the learnings we brought back from the ACM Conference on Recommender Systems. ...

On Aug. 15, 2016, the Machine Learning Algorithm team at LinkedIn gave a hands-on tutorial on how to build recommende...

It's time for feature engineering to stop being neglected in the machine learning literature. ...

We look at the challenges around personalised recommendations in Zalando's newsletters. ...

A Zalando Delivery Lead’s post comes in at #1! ...

LinkedIn makes extensive use of item-based collaborative filtering, which showcases relationships between pairs of it...

Search plays an important role in online social networks such as LinkedIn, as it provides an essential mechanism for ...