At the moment I have another problem: is there an efficient way to calculate the cosine similarity between documents? I'm following (with the required modifications) THIS <https://stackoverflow.com/a/16991131> code that calculates the cosine similarity between 2 documents, but it doesn't look too efficient when it comes to repeat everything between the user profile and every document retreived by the query. This because the termvectors returned by the IndexSearcher function getTermVector(...) only contain the terms present in the associated document, forcing you to create manually the full vectors. Isn't there the possibility to obtain full size vectors? (or are they way too big?)
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