January 28, 2022

New Article Provides Details on “Building the Next New York Times Recommendation Engine”

On The NY Times OPEN Blog Alexander Spangher writes:

In this post, I’ll discuss our recent work revamping The New York Times’s article recommendation algorithm, which currently serves behind the Recommended for You section of NYTimes.com.


By modeling article content and reader preferences with topics, then adjusting based on reading patterns, we’ve reconceptualized our recommendation engine. Our system is now a successful, large-scale implementation of cutting-edge research in collaborative topic modeling, and it provides significant performance increases when compared with previous algorithms used to make recommendations.

Read the Complete Article (approx. 1600 words)



About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.