That's what i though. I just wanted to make sure!

Thanks so much for the quick reply!

HK


On Tue, Jan 22, 2013 at 7:40 PM, Sean Owen <[email protected]> wrote:

> Yes that's right. Look as UserBasedRecommender.mostSimilarUserIDs(),
> and Recommender.estimatePreference(). These do what you are interested
> in, and yes they are easy since they are just steps in the
> recommendation process anyway.
>
> On Tue, Jan 22, 2013 at 6:38 PM, Henning Kuich <[email protected]> wrote:
> > Dear All,
> >
> > I am wondering if I understand the User-based recommendation algorithm
> > correctly.
> >
> > I need to be able to answer the following questions, given users and
> > ratings:
> >
> > 1) Which users are "closest" to a given user
> > and
> > 2) given a user and a product, predict the preference for the product
> >
> > apart from the standard "return topN" recommendations. But as I
> understand
> > it, the above two questions are just "subquestions" of the topN problem,
> > correct? Because the algorithm determines the "closest users" since it's
> a
> > user-based recommender, and since it calculates all potential user-item
> > associations, the second question should also be taken care of.
> >
> > Do I understand this correctly?
> >
> > I would greatly appreciate any help,
> >
> > Henning
> >
> >
> >
> >
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