Hi Jay,
there's not much documentation unfortunately. We're in the process of
creating that however. We removed the pseudo-distributed recommender,
mainly because nobody ever used it. There are two research papers that
could help you with understanding the other two distributed recommenders:
For ALS:
Distributed Matrix Factorization with MapReduce using a series of
Broadcast-Joins, RecSys'13
http://ssc.io/wp-content/uploads/2011/12/sys024-schelter.pdf
For item-based:
Scalable Similarity-Based Neighborhood Methods with MapReduce, RecSys'12
http://ssc.io/wp-content/uploads/2012/06/rec11-schelter.pdf
On 03/28/2014 02:04 PM, Jay Vyas wrote:
Hi mahout:
Looking through the source code there are 3 distributed recommenders...
the als recommender
the item recommender
the pseudo recommender
Any docs differentiating these?
