title: Comparing documents - document similarity
body: <p>I am currently conducting a java project in NLP/IR, and are fairly new to this. 
  The project consists of a collection with around 1000 documents, where each document has about 100 words, structured as bag of words with term-frequency. I want to find similar documents based on a document(from the collection).</p>
  
  <p>Using TF-IDF, calculating tf-idf for the query(a given document) and every other document in the collection, then comparing these values as a vector with cosine similarity. Could this give some insight in their similarity? Or would it not be reasonable, because of the big query(document)?
  Is there any other similarity measures that could work better?</p>
  
  <p>Thanks for the help</p>