The New York Times is using machine learning to serve readers a personalized newsletter containing stories they “might have missed.”
publishes countless stories across news, opinion and features every day, and we're focused on finding the best ways to introduce readers to the breadth of our journalism,"
stated Alex Rainert, head of product and design at The New York Times.
Delivered every Friday, the newsletter — “Your Weekly Edition” — will be
curated by editors with the help of machine-learning algorithms designed by The New York Times.
is calling the newsletter “experimental,”
adding the technology and design behind “Your Weekly Edition” will continue to improve.
Newsletter editors will sort editorial into three categories. “News you might have
missed,” “Best of The Times,” which will contain the week’s most important news, analysis and features, including video, graphics and other media, and “Discover,”
with highlights from the features well, with stories from travel, food, health and other lifestyle sections.
The Times will algorithmically select the articles
it hopes will be most interesting to each individual reader, based on that user’s reading history on its site and apps, and what other readers have found interesting.
article popularity by using another algorithm that does not rely on personalization. We do this by recording how often stories appear on our site, and then how many readers click to read them. But
those data are aggregated and therefore anonymized,” the company said.
For example, a user may regularly read movie stories and reviews written by the Times' Culture
reporters. That user's "Your Weekly Edition" would identify and display articles the user has not already read but may be interested in reading.
The Times says “Your
Weekly Edition” is “the first of what we hope are many experiments using personalization technology at The Times.”
The New York Times introduced a pop-up newsletter series with ideas of what to eat, drink, see and do in New York City each weekend, called Summer in the City.