Collaborative Filtering Articles

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  A closer look at the AI behind course recommendations on LinkedIn Learning, Part 2

  Sneha Chaudhari July 1, 2020

  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 engine for LinkedIn Learning. First, we provided details on the offline and online components of the system design. Later on, we discussed the three main components of the recommendation engine that are key for...

  • Topics:
  • artificial intelligence,
  • Recommender Systems,
  • Data,
  • Product Design,
  • relevance,
  • Collaborative Filtering,
  • machine learning,
  • TensorFlow
• 

  A closer look at the AI behind course recommendations on LinkedIn Learning, Part 1

  Sneha Chaudhari June 17, 2020

  Co-authors: Sneha Chaudhari, Mahesh Joshi, and Gungor Polatkan LinkedIn Learning is a platform where LinkedIn members have the opportunity to develop the relevant skills needed to achieve their professional goals. The Learning AI team continually advances the large-scale content recommendation engine for LinkedIn Learning, serving over 690M LinkedIn members and...

  • Topics:
  • artificial intelligence,
  • Recommender Systems,
  • Data,
  • Product Design,
  • relevance,
  • Collaborative Filtering,
  • machine learning
• 

  Browsemap: Collaborative Filtering At LinkedIn

  Lili Wu October 23, 2014

  LinkedIn makes extensive use of item-based collaborative filtering, which showcases relationships between pairs of items based on the wisdom of the crowd. As an example, each member's profile on LinkedIn has a "People Who Viewed This Profile Also Viewed" recommendation module. Known as a profile browsemap, this module is a navigational aid displaying other...

  • Topics:
  • Recommender Systems,
  • Hadoop,
  • Collaborative Filtering,
  • Social Networks,
  • Voldemort