title: Document Similarity - Multiple documents ended with same similarity score
body: <p>I have been working in a business problem where i need to find a similarity of new document with existing one.
  I have used various approach as below</p>
  
  <p>1.Bag of words + Cosine similarity</p>
  
  <p>2.TFIDF + Cosine similarity</p>
  
  <p>3.Word2Vec + Cosine similarity</p>
  
  <p>None of them worked as expected.
  But finally i found an approach which works better its
  <strong>Word2vec + Soft cosine</strong> similarity</p>
  
  <p>But the new challenge is i ended up with <strong>multiple documents with same similarity score</strong>.
  Most of them are relevant but few of them even though having some semantically similar words they are different </p>
  
  <p>Please suggest how to over come this issue</p>