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A developer notices that documents with longer text fields get lower relevance scores even if they contain the search term many times. What is the likely cause?

medium📝 Debug Q7 of 15
Elasticsearch - Search Results and Scoring
A developer notices that documents with longer text fields get lower relevance scores even if they contain the search term many times. What is the likely cause?
AInverse document frequency increases scores for longer documents
BTerm frequency is ignored in longer documents
CDocument length normalization reduces scores for longer documents
DLonger documents are filtered out automatically
Step-by-Step Solution
Solution:
  1. Step 1: Understand document length normalization

    Longer documents get their term frequency scores reduced to avoid bias towards length.
  2. Step 2: Explain lower scores for longer documents

    Normalization lowers scores for longer texts even if terms appear many times.
  3. Final Answer:

    Document length normalization reduces scores for longer documents -> Option C
  4. Quick Check:

    Length normalization lowers scores for long docs [OK]
Quick Trick: Longer docs get normalized to lower scores [OK]
Common Mistakes:
MISTAKES
  • Thinking term frequency is ignored
  • Assuming IDF increases scores for long docs
  • Believing longer docs are filtered out

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