Some of the references for the newer cooccurrence recommender that we now
suggest you use are at the top of the page here:
http://mahout.apache.org/users/recommender/intro-cooccurrence-spark.html
There are many benefits of this new method including at its core a new
similarity algorithm that
On Sat, Mar 7, 2015 at 3:05 AM, Tevfik Aytekin tevfik.ayte...@gmail.com
wrote:
There can be two solutions:
1. There should be a parameter n, which determines the minimum number
of common ratings needed to compute a similarity otherwise the system
should return NaN.
2. The similarity should
Hi,
I've noticed a problem in the non-Hadoop (taste) version of the
recommender package. The problem is in the AbstractSimilarity (in
package org.apache.mahout.cf.taste.impl.similarity).
This class is the base class for computing the similarity values
between vectors of users or items. It
