Hello,
In our application we are using ReloadFromJDBCDataModel for its speed
advantage of in-memory representation and being able to update periodically
to pull in new data from a database source.
However, once the recommender is build we do not want to keep the ratings
data in memory (we would
You would have to write this yourself, yes.
If you're not keeping the data in memory, you're not updating the
results in real-time. So there's no real need to keep any DataModel
around at all. Just pre-compute and store recommendations and update
them periodically. Nothing has to be on-line then.
Hi again,
Thank you for your quick reply, Sean. I couldn't understand one point. What
do you mean by pre-compute and store recommendations? Doesn't it mean
having a dense (rather filled?) rating matrix? So it would make memory
usage much worse, even if it is possible. Wouldn't it better to keep
If you don't have the data in memory you can't compute anything. The
recommender itself doesn't do anything without data. That's why it
seemed like you really just wanted to compute everything offline
first, in which case the simplest solution is to store it however you
like and fetch that result
Hey Sean,
Once you compute user and item factors, you don't need to create a dense
matrix in which all the user's predicted ratings contains. Of course, one
dependency remains: you may want to know which user rates which movies.
Otherwise you recommend movies which are rated already. However,
Hello Sean,
Thank you for your reply. What I understand from your reply is we are fine
with the proposed solution in the first mail.
Thanks again.
Regards.
Ceyhun Can Ulker
On Mon, Jan 21, 2013 at 10:59 PM, Sean Owen sro...@gmail.com wrote:
That's all right, but it's not something
