Ranking search results

In the previous step, we finalized our top 30 results. In this step, we will be doing the ranking of the search results:

We need to perform our ranking based on the following metrics we have calculated:

  • Cosine similarity
  • Jaccard index
  • Polarity difference

A standard way of doing this would be to come up with another score, which is a linear combination of the preceding three scores. We use that final score to sort the results.

However, we will leverage fuzzy logic programming to do the search result ranking.

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