Hi Jeff, as I recall the map-reduce-based fp-growth solution was problematic, and it's been either deprecated or removed.
There are better solutions under the "recommendations" tab at http://mahout.apache.org And I would encourage your updating your version of Mahout to 0.9 or to the master branch at https://github.com/apache/mahout, since 0.7 from that blog is outdated. Best Andrew On Mon, Mar 2, 2015 at 3:26 PM, Jeff Isenhart <jeffi...@yahoo.com.invalid> wrote: > Hi, > New to mahout and fp growth. I havefollowed this example: > https://chimpler.wordpress.com/2013/05/02/finding-association-rules-with-mahout-frequent-pattern-mining/ > I generated nice output informationlike this (as an example): > [abc,def,ghi] => klm,confidence:0.597, support:0.01, lift: 57.415, > conviction: 2.453…... > > Now I am not clear on how to model“recommendations” where given items > [qrs, tuv] recommend wxy basedon confidence level. Am I to make lookups > based on the above results or use one of the several recommender and > similarity classesin mahout? A bit lost on where to start. > Thanks >
