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https://issues.apache.org/jira/browse/MAHOUT-1058?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13434052#comment-13434052
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Sean Owen commented on MAHOUT-1058:
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Or, can you put in a hook that lets you apply an IDRescorer inside
CandidateItemStrategy?
IDRescorer works pretty well as an abstraction that answers, "do I consider
this thing?" and "if so, how do I rescore it?" Different implementations of
such a thing may be used separately in different places, and in fact that's
already how similar item filtering works.
I think it'd be nice to follow that pattern as opposed to adding more methods
to the interface, if that's what you mean.
> IDRescorers should also be able to filter candidate items
> ---------------------------------------------------------
>
> Key: MAHOUT-1058
> URL: https://issues.apache.org/jira/browse/MAHOUT-1058
> Project: Mahout
> Issue Type: New Feature
> Components: Collaborative Filtering
> Affects Versions: 0.8
> Reporter: Sebastian Schelter
> Assignee: Sebastian Schelter
>
> Currently when a recommendation for a particular user is computed, at first
> the candidate items are determined via a CandidateItemsStrategy, then
> predicitions for all these items are computed and afterwards the IDRescorer
> can filter the items that might be recommended.
> For performance reasons, it should also be possible to apply custom filtering
> before the estimation is done. This cannot be done in the
> CandidateItemsStrategy, as the filtering logic might depend on some
> request/or user-specific criteria that are not known in the recommender
> application.
> It would be possible to implement such a logic in IDRescorer.isFiltered(),
> this is however bad for performance reasons, as the very costly estimation
> has already happen then.
> I propose to add a method to IDRescorer that can filter the candidate items
> right before estimation starts.
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