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From Saikat Kanjilal <>
Subject RE: Content based recommender using lucene/solr
Date Fri, 28 Jun 2013 17:42:32 GMT
Why not just use mahout to do this, there is an item similarity algorithm in mahout that does
exactly this :)

You can use mahout in distributed and non-distributed mode as well.

> From:
> Date: Fri, 28 Jun 2013 12:16:57 -0500
> Subject: Content based recommender using lucene/solr
> To:;
> Hi,
> I'm using lucene and solr right now in a production environment with an
> index of about a million docs. I'm working on a recommender that basically
> would list the n most similar items to the user based on the current item
> he is viewing.
> I've been thinking of using solr/lucene since I already have all docs
> available and I want a quick version that can be deployed while we work on
> a more robust recommender. How about overriding the default similarity so
> that it scores documents based on the euclidean distance of normalized item
> attributes and then using a morelikethis component to pass in the
> attributes of the item for which I want to generate recommendations? I know
> it has its issues like recomputing scores/normalization/weight application
> at query time which could make this idea unfeasible/impractical. I'm at a
> very preliminary stage right now with this and would love some suggestions
> from experienced users.
> thank you,
> Luis Guerrero
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