Engineered by: @ryantharpProject Llama's purpose is to establish 2 new users annotations on App.net. These will be used to identify who you are and what you're looking for on App.net. This provides applications with more information about a members preferences and provides more context to the application about members, followers and the App.net community in general. This can be used to find members with similar interests or simply to highlight posts from other members with similar interest.
Members can use a supported client to go through the categories and select the checkboxes they feel are appropriate. Our goal is to give you full control of what you choose and what others see. As one of App.net's great benefit over other social networks is privacy and control over your own information.
Individual tags will initially be preselected but we have an interface where new tags and categories can be suggested and then endorsed by others. Unused tags and categories can be eventually expired to make more room for what the community wants.
I designed this system to use a flexible tag based approach that is simple for any developer to implement. Matching can easily be done quickly by comparing two user objects yielding a total number of matches that can be used as a score. It's another step towards providing a powerful App.net user search.
Our goal is for App.net to make these official fields with their own dedicated space. But we need members and developers to embrace them before that can happen.
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