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From Otis Gospodnetic <>
Subject Re: Using Taste to recommend documents
Date Thu, 09 Apr 2009 22:49:24 GMT

Quick one for the original poster: You could also use Solr/Lucene's MoreLikeThis, for example.

Sematext -- -- Lucene - Solr - Nutch

----- Original Message ----
> From: Sean Owen <>
> To:
> Sent: Friday, April 3, 2009 12:54:40 AM
> Subject: Re: Using Taste to recommend documents
> You could do that. But then, the system would be recommending words to
> documents! Not quite what you want. I assume you still want to
> recommend documents to (real) users.
> I would use other techniques to determine document similarity. Others
> on this list can suggest ideas, but, simple metrics based on word
> frequency should do well. Then, use that logic to create an
> implementation of ItemSimilarity. Then build a DataModel, perhaps a
> FileDataModel, maybe from a file containing user IDs, document IDs,
> and preference values. Then try a GenericItemBasedRecommender based on
> these components. We can discuss these more in detail later.
> Assuming you go this way, a couple thousand documents (and a couple
> thousand users?) should be no problem to process in memory. It should
> be fast. I would, perhaps, make sure that your ItemSimilarity caches
> results, or perhaps is based on pre-computed values, since that would
> be slow to re-compute those over and over a runtime.
> Sean
> On Apr 3, 2009 7:14 AM, "Vinicius Carvalho" wrote:
> Hi there! I would like to build a document recommendation system, and one of
> the approaches I wish to experiment is use taste for that task. One idea I
> had was to model users as documents, words as items and word frequencies on
> documents as preferences.
> Am I going on the right direction here?
> Also, I'm a bit afraid about memory consumption here. So far we only have 6k
> documents (which may have a few hundred words per doc). But would taste
> scale to lets say 100k documents with few hundreds of words?
> Best regards
> --
> The intuitive mind is a sacred gift and the
> rational mind is a faithful servant. We have
> created a society that honors the servant and
> has forgotten the gift.

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