The New York Times is in the process of tweaking its recommendation engine by integrating two previously used models. The Recommended for You section of NYT provides suggested content from over 300 articles, blog posts and interactive stories that are published every day. By personalizing the content that appears on apps and the website, readers are directed to stories that have the greatest interest and relevancy to them. NYT described its efforts to rebuild the engine for maximum efficiency and accuracy. Continue reading New York Times’ New Algorithm Improves Recommendation Engine