The new Spark based recommender can easily handle context in many forms. See
the top references section here
http://mahout.apache.org/users/recommender/intro-cooccurrence-spark.html
It does not use the IDRescorer approach at all so perhaps you should describe
what you want to use as context.
The terms main and secondary are a bit confusing.
The easiest definition is that cooccurrence analyzes the record of actions you
want to recommend. Cross occurrence tries to transfer from one behavior to
another.
In practice, it has been common to conflate many behaviors into one precisely
Hi all,
I am trying to implement an context-aware recommender in Mahout. As I
haven't use the library before I haven't a lot experience. So, I would
really appreciate your response!
What I want to do is to implement the two context- aware approaches that
have been proposed, pre-filtering and
May I say indicator-matrix is for the main action for example purchase and the
cross-indicator-matrix is for the secondary action?
Thanks a lot,
Kevin
Hi All:
For some reasons, we need to re-implement the Random Forest in mahout
based on old MapRed API to run it on our Hadoop deployment, we know that
old MapRed API is different from new MapReduce API, could you please give
me some hint on how to do this? many thanks.
Best
Wei
