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Some systems for recommending news items already exist.
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Either could take advantage of Facebook's massive treasure trove of aggregate data on what people share to surface popular and personally recommended news articles.
Common examples of personalisation can be found in websites that automatically recommend news items or products based on the similar behaviour of other users.
application installed will see a list of recommended news articles like the one seen to the right.
The social networking site is debuting a feature, similar to Digg and Time Warner's Netscape, that will let users recommend news items to the site.
Verma adds that Thirst's technology can do more than recommend news articles, with possible expansion into other topics and types of content.
But Streamy has an interesting concept when it comes to the ability to recommend news and blog sites for users and offering the chat feature.
In addition, the app also recommends news and video content based on users' past habits to lock them in, a feature similar to that of ByteDance's algorithm-driven Jinri Toutiao news app.
According to multiple sources, Prismatic — an app that recommends news articles to users based on what their connections are reading and liking — is on the block, and Microsoft is the front runner to get it.
While the desktop-based version of the website works as advertised, I have a hard time picturing many people sitting at their computers listening to recommended news articles and debates.
I have to assume it's the same way they've long recommended news feeds to you, which is by looking at your Reader Trends and web browsing history (if you have that turned on), and comparing it with other users.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com