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From Jayesh <jayesh.sidhw...@gmail.com>
Subject Re: Calculating affinity
Date Tue, 23 Jul 2013 15:54:30 GMT
Thank you Sean, Ted.
I would dig more on the leads you gave and revert.

Ps: I love this community. It's so helpful!

On Tuesday, July 23, 2013, Ted Dunning wrote:

> On Tue, Jul 23, 2013 at 6:07 AM, Jayesh <jayesh.sidhwani@gmail.com<javascript:;>>
> wrote:
>
> >
> >
> > I have been reading about CF algorithms. Everyone seems to be taking the
> > preference value as ratings, or any singular attribute. However, in a
> > typical ecommerce scenario the entire clickstream data is important (
> with
> > varying weights) to determine the affinity of the user vs item.
> >
>
> Yes.  This is the literature, but it is the opposite in practice.  Ratings
> rarely convey as much information as the much richer and more voluminous
> stream of implicit data.
>
> Even worse, almost all academic research ignores the fact that multiple
> kinds of behavior is involved in a real system.
>
> Check out my talk at Buzzwords for a possible solution for you.
>
>
> > If we consider many parameters, do we use any kind of a regression to
> > formulate the affinity score (that takes into consideration all the
> > features and their respective weights that impact the users liklehood)
> and
> > run any CF algorithm over these scores?
> >
>
> Bayesian bandit is what I would recommend.
>


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