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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