gj 2012-01-28, 16:42
Sean Owen 2012-01-28, 18:47
gj 2012-01-28, 20:21
-Re: custom modifications to include implicit feedback in neighbourhood model
Manuel Blechschmidt 2012-01-28, 19:44
you could also implement an ensemble recommender by using two recommenders and then blending the results.
The following JIRA is discussing how to do this:
On 28.01.2012, at 17:42, gj wrote:
> I am trying some experiments (mahout 0.5) with a new neighbourhood
> model that includes implicit feedback as well as explicit feedback.
> And I wanted to know, what are the clIasses, etc that I need to
> To start, my input to the system should in the following format:
> userid, itemid, exp_feedback, imp_feedback
> where userid and itemid are integers and exp_feedback and imp_feedback
> are floats between 0.0 and 1.0
> for example:
> 101, 1, 0.67, 0.18
> I've used the recommender system code in mahout before. But it will be
> my first time trying to modify it in order to run some custom code. I
> have skimmed through the Mahout in Action book.
> The other point is that I want to make this modifications with as
> little changes to the mahout distribution so that I can benefit from
> the optimisations that are present in the distribution.
> Definitely I need to have custom UserSimilarity and I need a custom
> UserNeighborhood? What else? Can somebody please give me some pointers
> where to start, e.g which classes i need to modify, etc. and what are
> the things I should be wary of? Then I will have a go and report back
> my progress.
gj 2012-01-28, 20:22