Introducing the Experiments and Personalization Team – The New York Times Company

How can we tailor the home screen so that it is more relevant for each reader? How can we  further amplify the Times editorial judgment that we know our readers value? How can we better organize and display our report — from live briefings to columns; from bursts to recipes — to make it easier for them to connect and engage with the breadth of Times journalism?

To answer these questions, we have assembled a team to explore new ways of programming the home screen. With input from desks and product teams, they will test myriad hypotheses, with a focus on engaging our subscribers and getting them to come back to us more frequently. These experiments will include things like targeting readers based on location or reading history or testing new kinds of content packages.

The team will also take parts of the home screen into a world of algorithmic-programming and personalization to help readers find the stories they want and discover new ones each time they visit. Their work will require close collaboration with the personalization team on Product, led by JiaJia Jin, and the algorithmic-recommendations group led by Anna Coenen.

Meet the team:

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Introducing the Experiments and Personalization Team – The New York Times Company

How can we tailor the home screen so that it is more relevant for each reader? How can we  further amplify the Times editorial judgment that we know our readers value? How can we better organize and display our report — from live briefings to columns; from bursts to recipes — to make it easier for them to connect and engage with the breadth of Times journalism?

To answer these questions, we have assembled a team to explore new ways of programming the home screen. With input from desks and product teams, they will test myriad hypotheses, with a focus on engaging our subscribers and getting them to come back to us more frequently. These experiments will include things like targeting readers based on location or reading history or testing new kinds of content packages.

The team will also take parts of the home screen into a world of algorithmic-programming and personalization to help readers find the stories they want and discover new ones each time they visit. Their work will require close collaboration with the personalization team on Product, led by JiaJia Jin, and the algorithmic-recommendations group led by Anna Coenen.

Meet the team:

Spread the love

Leave a Reply

Your email address will not be published.