Thank you Sebastian. The data set is not that large, as we are running tests on 
a subset. It is about 24k users, 40k items, the preference file has 65k 
preferences as triples. This was using Similarity Cooccurrence.

I can see if I could anonymise the data set to share if that would be helpful.

Thanks for your kind help. 

Rafal
--
Rafal Lukawiecki
Pardon my brevity, sent from a telephone.

On 30 Jul 2013, at 18:18, "Sebastian Schelter" <[email protected]> wrote:

> Hi Rafal,
> 
> can you issue a ticket for this problem at
> https://issues.apache.org/jira/browse/MAHOUT ? We have unit-tests that
> check whether this happens and currently they work fine. I can only imagine
> that the problem occurs in larger datasets where we sample the data in some
> places. Can you describe a scenario/dataset where this happens?
> 
> Best,
> Sebastian
> 
> 2013/7/30 Rafal Lukawiecki <[email protected]>
> 
>> I'm new here, just registered. Many thanks to everyone for working on an
>> amazing piece of software, thank you for building Mahout and for your
>> support. My apologies if this is not the right place to ask the question—I
>> have searched for the issue, and I can see this problem has been reported
>> here:
>> http://stackoverflow.com/questions/13822455/apache-mahout-distributed-recommender-recommends-already-rated-items
>> 
>> Unfortunately, the trail leads to the newsgroups, and I have not found a
>> way, yet, to get an answer from them, without asking you.
>> 
>> Essentially, I am running a Hadoop RecommenderJob from Mahout 0.7, and I
>> am finding that it is recommending items that the user has already
>> expressed a preference for in their input file. I understand that this
>> should not be happening, and I am not sure if there is a know fix or if I
>> should be looking for a workaround (such as using the entire input as the
>> filterFile).
>> 
>> I will double-check that there is no error on my side, but so far it does
>> not seem that way.
>> 
>> Many thanks and my regards from Ireland,
>> Rafal Lukawiecki
>> 
>> --
>> 
>> Rafal Lukawiecki
>> 
>> Strategic Consultant and Director
>> 
>> Project Botticelli Ltd
>> 
>> 

Reply via email to