Today, The New York Times quietly rolled out a new page that serves up a list of recommended stories based on recently read items.
Available at NYTimes.com/recommendations, the page is designed to help readers “see through the news fog,” NYT lead technology reporter Nick Bilton tweeted. It lists 20 recommended articles alongside personal data about the sections and topics one reads most often, suggesting that content is suggested based on those criteria rather than, for example, keywords.
As far as we can tell, the feature is not integrated into the rest of the site, at least not yet. And unlike The Huffington Post‘s recommendation system, for instance, there is nothing social about it — suggestions are based purely on one’s own reading habits, not the reading habits of one’s friends.
We’ve reached out to The New York Times for comment and will update this post with further information after a scheduled call Tuesday.
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