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From Luis Carlos Guerrero Covo <>
Subject Content based recommender using lucene/solr
Date Fri, 28 Jun 2013 17:16:57 GMT

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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