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.
