user@spark.apache.org
Date: 08/04/2014 12:51 AM
Subject:Re: MLLib: implementing ALS with distributed matrix
To be precise, the optimization is not `get all products that are
related to this user` but `get all products that are related to users
inside this block`. So a product factor
To:Wei Tan/Watson/IBM@IBMUS,
Cc:user@spark.apache.org user@spark.apache.org
Date:08/04/2014 12:51 AM
Subject:Re: MLLib: implementing ALS with distributed matrix
--
To be precise, the optimization is not `get all products that are
related
Subject:Re: MLLib: implementing ALS with distributed matrix
Hi Wei,
Sparkler code was not available for benchmarking and so I picked up
Jellyfish which uses SGD and if you look at the paper, the ideas are very
similar to sparkler paper but Jellyfish is on shared memory and uses C
code
