Hi - There was an entire track dedicated to context recommender systems at
this years ACM Recommender Systems, including a challenge using the movie
pilot dataset

There is a substantial amount of research out there about using contextual
features in a recommender system. A pretty mainstream approach is to add an
extra dimension to your matrix when calculating recommender scores. If you
pop onto scholar.google.com and check out context recommenders or tensor
matrix you'll find some useful literature. Just adding simple rescore values
would probably make these additional attributes fall into the domain of
context based recommenders.

On Tue, Oct 12, 2010 at 12:04 PM, Sean Owen <[email protected]> wrote:

> Yeah this is embodied in the "IDRescorer" class which lets you
> influence the final recommendations however you want, for just this
> sort of reason.
>
> On Tue, Oct 12, 2010 at 11:55 AM, Sebastian Schelter
> <[email protected]> wrote:
> > Hi everyone,
> >
> > I have some non-release-related offtopic questions ;)
> >
> > I've attended an interesting talk last week given by the CTO of
> > moviepilot.de (a German movie recommendation platform). The talk
> included a
> > concept which he called "context-aware" recommendations, which means that
> > you not only recommend items that a user might like, but you also factor
> in
> > the users current context. The example in the talk was that a romantic
> > evening needs other movie recommendations than an evening with a couple
> of
> > guys drinking beer.
> >
> > I found this concept very appealing and I thought about whether and how
> this
> > could be accomplished with our current recommender framework.
> >
> > My idea would be to define some content-related rules like "a movie
> tagged
> > with the category action is not suited for the context romantic evening"
> and
> > use these rules to create some kind of context-aware Rescorer that only
> > selects items matching the rules from all recommended items.
> >
> > Would this be a viable approach?
> >
> > --sebastian
> >
>

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