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That's why NWA's She Swallowed It was never going to make the list, no matter how many recommendations it got.
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Now if I have a question about something I don't have to dig up who is the person who is particularly responsible for this, I can just throw a question out there, I know there are enough people out there who pay attention to my posts, and also now with the recommendations it should get recommended to the right person anyway.
If it's a machine-learning program, it will make better recommendations as it gets more data about how customers respond.
But there was an introduction (and therefore a recommendation) by John McGahern, so it got the first-page test.
Through their recommendation, I got in touch with NASA and they responded.
PinPointing is useful when it gets the recommendations right, which seems to happen particularly with beauty selections, or when it recommends items based on a brand and not an idea, like a wedding, or trend.
Going forward, the service will be able to make recommendations based on the information it gets and predict yield levels.
To find out about events or get recommendations, it's not easy".
Do you feel the PHE's recommendations got it mostly correct or wrong?
While the selection of titles at Bookish is small compared to other platforms and it's perhaps less effective to build an online library or get accurate recommendations, it offers very nice thematic lists, blogs and features, and its small size can make it less overwhelming than bigger networks.
Unlike Yelp, HeyLets focuses on positive reviews if a venue doesn't get enough recommendations, it just won't show up in feeds.
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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