Hi ,
Just 2 follow up questions, please suggest
1. Is there any commercial recommendation engine apart from the open source
tools(Mahout,Spark) that are available that anybody can suggest ?
2. In this case only the purchase transaction is captured. There are no
ratings and no feedback availabl
Thanks Nick, for your suggestions.
On Sun, Mar 15, 2015 at 10:41 PM, Nick Pentreath
wrote:
> As Sean says, precomputing recommendations is pretty inefficient. Though
> with 500k items its easy to get all the item vectors in memory so
> pre-computing is not too bad.
>
> Still, since you plan to s
As Sean says, precomputing recommendations is pretty inefficient. Though with
500k items its easy to get all the item vectors in memory so pre-computing is
not too bad.
Still, since you plan to serve these via a REST service anyway, computing on
demand via a serving layer such as Oryx or Pre
Thanks Sean, your suggestions and the links provided are just what I needed
to start off with.
On Sun, Mar 15, 2015 at 6:16 PM, Sean Owen wrote:
> I think you're assuming that you will pre-compute recommendations and
> store them in Mongo. That's one way to go, with certain tradeoffs. You
> can
I think you're assuming that you will pre-compute recommendations and
store them in Mongo. That's one way to go, with certain tradeoffs. You
can precompute offline easily, and serve results at large scale
easily, but, you are forced to precompute everything -- lots of wasted
effort, not completely
Hi,
Can anyone who has developed recommendation engine suggest what could be
the possible software stack for such an application.
I am basically new to recommendation engine , I just found out Mahout and
Spark Mlib which are available .
I am thinking the below software stack.
1. The user is goin
