Paul Lindner

.. random ES thought on content-based circle classifications..

Imagine if we could infer the type of circle based on either the content you post there (via NLP), the linguistic name, or user specification?

We could:
-- boost/dampen the volume of a post based on circle matching:
I have you in my _Photos_ circle, you share to your _heavy_metal_ circle == dampen.
-- You post your high scores to _public_ + _chess_, I follow you in a circle named _games_ == boost.
-- My wife posts to _family_, I have her in _family_ == boost
-- My wife posts to _Tennis_ and public, I don't have her in a sports circle == dampen.


The reason I've been thinking about this is another what-if --
-- what if Apps had a one-to-one relationship with a plus page?
-- When I add an App, it can circle me back.
-- If I perform an action on the third party site the app can plus-mention me, or it can group together users into relavant circles to send updates.

-- I can put noisy apps in a circle and lower the volume.
Note that App could be a Game (like Angry Birds), an App (like Remember the Milk) or even a web site (like 8tracks or Soundcloud..)

Maybe this is stretching the model too much, but it's certainly fun to ponder!




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