Okay so I am a little confused. This should be a simple straightforward question however.
After calculating the TF-IDF Matrix of the Document against the entire corpus, I get a result very similar to this:
array([[ 0.85..., 0. ..., 0.52...],
[ 1. ..., 0. ..., 0. ...],
[ 1. ..., 0. ..., 0. ...],
[ 1. ..., 0. ..., 0. ...],
[ 0.55..., 0.83..., 0. ...],
[ 0.63..., 0. ..., 0.77...]])
How do I use this result to get the most similar document against the search query? Basically I am trying to re-create a search bar for Wikipedia. Based on a search query I want to return the most relevant articles from Wikipedia. In this scenario, there are 6 articles (rows) and the search query contains 3 words (columns).
Do I add up all the results in the columns or add up all the rows? Is the greater value the most relevant or is the lowest value the most relevant?