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Why does Elasticsearch use inverse document frequency (IDF) in its relevance scoring formula?

hard🧠 Conceptual Q10 of 15
Elasticsearch - Search Results and Scoring
Why does Elasticsearch use inverse document frequency (IDF) in its relevance scoring formula?
ATo increase the score of terms that appear in many documents
BTo reduce the weight of very common terms and highlight rare terms
CTo ignore terms that appear only once in the index
DTo sort documents by their creation date
Step-by-Step Solution
Solution:
  1. Step 1: Understand IDF purpose

    IDF lowers the importance of common terms to avoid them dominating scores.
  2. Step 2: Explain effect on rare terms

    Rare terms get higher weight, making documents containing them rank higher.
  3. Final Answer:

    To reduce the weight of very common terms and highlight rare terms -> Option B
  4. Quick Check:

    IDF highlights rare terms by lowering common term weight [OK]
Quick Trick: IDF highlights rare terms by lowering common term weight [OK]
Common Mistakes:
MISTAKES
  • Thinking IDF increases common term scores
  • Assuming IDF ignores rare terms
  • Confusing IDF with sorting by date

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