Jeff, are you trying to build a general recommender? Or a shopping cart 
recommender? FP was used to find things often bought together, which means 
recommendations based on some partial group of items (watchlist, wishlist, 
shopping cart). FPG has been deprecated in favor of newer methods.

There are references at the top of this page 
http://mahout.apache.org/users/recommender/intro-cooccurrence-spark.html that 
may help for a general recommender but things bought together would require a 
slightly different approach.

Think of the shopping-cart-id as if it were a user-id. Create a cooccurrence 
matrix using spark-itemsimilarity as described in the above references. The 
shopping cart ids will disappear leaving an item-id followed by a list of 
similar items. Index this in a search engine and use the current partial 
shopping cart as the query. You’ll get back an ordered list of the items most 
commonly bought with items in the current shopping cart.

On Mar 2, 2015, at 3:37 PM, Andrew Musselman <andrew.mussel...@gmail.com> wrote:

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is outdated.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
> 

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