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From Jahangir Mohammed <md.jahangi...@gmail.com>
Subject Re: Improve Recommendations
Date Thu, 10 May 2012 16:07:08 GMT
Thanks Sean for response. Let say, I have tags associated to the items
where items are more like an e-commerce(electronics, less than 20$, best
buy product,..so on) and I have some users demographic information. So, I
was thinking that I can write UserSimilarity and ItemSimilarity based on
these.

On Thu, May 10, 2012 at 11:52 AM, Sean Owen <srowen@gmail.com> wrote:

> The best, or perhaps only, way to integrate such information is to
> implement your own version of UserSimilarity or ItemSimilarity and
> then use a user-based or item-based recommender. You can implement
> whatever similarity rule you think is best according to your metadata.
> There's not a lot to be said unless you can say more about exactly
> what metadata you have.
>
> On Thu, May 10, 2012 at 4:31 PM, Jahangir Mohammed
> <md.jahangir27@gmail.com> wrote:
> > I followed very much the example as given in the documentation and it's
> > working as expected so far.
> >
> > Have a question on how I can use some of the metadata I have for users
> and
> > items to still improve the recommendations. It looks obvious how to do
> it,
> > but still want to get a heads up from people who have been using taste
> for
> > a while. So, is my assumption correct that I have to implement
> > UserSimilarity and ItemSimilarity interfaces?
> >
> > Thanks in advance for any suggestions.
> >
> > Thanks,
> > Jahangir.
>

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