Exact(8)
If a user made another illegal download within three months, a second warning would be sent by certified mail.
On Facebook, for example, Hello, Cereal Lovers featured a recipe suggested by a user made with Post Honey Bunches of Oats, while on Twitter it reposted a recipe made with Post Fruity Pebbles and Kellogg's Rice Krispies.
Just a few years ago, almost every post a user made was text.
In D1, the average number of visits per month a user made is 46.4 whereas in D2, the average number of visits per year was 46.7.
However, the locations in these recordings usually correspond to areas where a user made a mobile phone call or text, i.e., locations which are more likely to correspond to the home and workplace of a user, which are again inherently unique locations.
This timeline feature shows how many times a user made certain actions, when they signed up, how many times they've upgraded, viewed their dashboards, and so on — presenting all this data in an intuitive visual format, so that the size of the circle on the timeline corresponds with how many times the customer took action.
Similar(52)
When a user makes a reservation, a total charge is specified for the full stay.
If a user makes a specifically violent threat, Twitter will remove the threat, or even the user.
Every time a user makes a wish, the site asks if it's location-specific or not.
This allowed sites to reinstate HTTP cookies deleted by a user, making tracking more resistant to users' privacy-seeking behaviors.
This allowed sites to reinstantiate http cookies deleted by a user, making tracking more resistant to users' privacy-seeking behaviors.
Write better and faster with AI suggestions while staying true to your unique style.
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