'The New York Times' Uses Machine Learning To Create Personalized Newsletter
- by Sara Guaglione , June 13, 2018
The New York Times is using machine learning to serve readers a personalized newsletter containing stories they “might have missed.”
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Is this really a step ahead with " machine learning," or another use of standard analytics data to improve the likelihood readers will be drawn and stay with the stories?
Will be interesting in monetizing this percieved level of higher emailed personalization with ads...and the usual engagement metrics...if that works. They they will have a "best of the TIMES" content that spews a nice revenue gusher of highly targeted activity via its readers Now, if they can externally track from NYT site, meaning I view energy news on FT.com..but not NYT..its another way to divert competitor's readers for specfiic coverage..and to try the NYT, e.g. I'll read the times for domestic economics, but not international, that's with The Economist..so how are these new NYT emails going to gradually validate "hey, we at the NYT also have compelling coverage on this energy topic" and with that show "peronalized" energyb content the subscriber hasn't seen YET on the NYT site...but now that subscriber may be motivated.