This is a simple recommendation engine for matching blog posts. It works by autotagging posts first, followed by matching of posts based on the autotags. The autotagging is based on the list of unigrams suitable for tagging blog posts. The unigram list is provided by Zemanta (http://developer.zemanta.com/)
This routine uses porter stemming algorithm. For details about this algorithm see http://www.tartarus.org/~martin/PorterStemmer
Author: Dusan Omercevic (dusan.omercevic@fri.uni-lj.si)
Initial release: October 2012
python sre.py avc_blog.json unigrams.csv