bubble-up is an app for reccomending articles based on user's preferences
built at Complicity - 2013 by @brianabelson, @annabelchurch, and @pudo

1. Create a postgres database called news (or whatever you want)
2. Create an environmental variable called DATABASE_URL with your database path, e.g. export DATABASE_URL=postgresql://brian:mc@localhost:5432/news
3. Build the database of newspapers using build_newspaper_db.py, which sources data from NewspaperMap
4. Build the database of articles using scrape_rss_feeds.py
5. Run web.py to host the api

I'm hoping to build an intelligent way of determining article similarity via textual features on-the-fly.
my experiments with this can be found in topic_modeling/