Ok, thanks for your support.
Eugenio
2015-02-11 11:54 GMT+01:00 Juanjo Ramos :
> Yes. You approach sounds about right.
>
> As far as I know, you just cannot not pass a file to Mahout with user
> similarities and it will create a UserSimilarity object as it can do with
> the DataModel.
>
> When I
Hi all and thanks for your suggestions,
I am reading the content suggested and, for the "old" (non-spark) approach,
trying to see the various options from the javadoc here
https://builds.apache.org/job/Mahout-Quality/javadoc/ and the source code.
If I need to use a classical user-based technique,
On Fri, Feb 13, 2015 at 9:37 AM, Eugenio Tacchini <
eugenio.tacch...@gmail.com> wrote:
> If I need to use a classical user-based technique, however, the only
> alternative is the Taste-oriented code, am I right?
>
Right.
> Still, I can't see how
> to perform a prediction for a a user/item coupl
I am trying to add the fixed user similarities in the easiest possible way.
This is my starting code (a normal user-based algorithm based on Pearson
Correlation):
UserSimilarity similarity = new PearsonCorrelationSimilarity(dm);
UserNeighborhood neighborhood = new NearestNUserNeighborhood(15, 0.
On Fri, Feb 13, 2015 at 11:11 AM, Eugenio Tacchini <
eugenio.tacch...@gmail.com> wrote:
> Is there anyone who can give me some hints about this task?
>
Another way to look at this is to try to wedge this into the item
similarity code.
There are hooks available in the map-reduce version of item s
spark-rowsimilarity will give you a list of similar users (rows in the
interaction matrix) using LLR with several downsampling options. This works
with rows for input but you can input elements with a little custom code to get
exactly the same result.
Let me understand the second part of your q
If the user -> similar users relationship is really fixed for some test this
isn’t even a Mahout problem… All you need to do is create a linear combination
of all the similar user's preferences and rank accordingly. This produces
ranked recs for some “current user”. If you have a record of user
Hi
Looks like this is typical everywhere, however I have'nt figured out how to
resolve in my case.
There is nothing I have done explicitly regarding SLF4J.
Both Hadoop and Mahout environment are built by just simply downloading jar
files. Not built locally.
Both Hadoop and Mahout have been working
