I am actually modeling charges. The main use case is when we have charges a,b
and c then we have charge d with a confidence, support, lift, etc...Then when I
get an account with some charges, I look this up against the model to see if
any charge may be missing (based on confidence)+
I was un
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
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 branc
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, con
