Hi Deb, thanks for sharing your result. Please find my comments inline in
blue.
Best regards,
Wei
From: Debasish Das
To: Wei Tan/Watson/IBM@IBMUS,
Cc: Xiangrui Meng , "user@spark.apache.org"
Date: 08/17/2014 08:15 PM
Subject: Re: MLLib: implementing ALS with d
rson/us-wtan*
> <http://researcher.ibm.com/person/us-wtan>
>
>
>
> From:Xiangrui Meng
> To: Wei Tan/Watson/IBM@IBMUS,
> Cc: "user@spark.apache.org"
> Date:08/04/2014 12:51 AM
> Subject:Re: MLLib: implementing ALS with d
uot;
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 won't be s
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 won't be sent to the same
block more than once. We considered using GraphX to implement ALS,
which is much easier to unders
