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Queries as vectors

  • Key idea 1: Do the same for queries: represent them as vectors in the space

  • Key idea 2: Rank documents according to their proximity to the query in this space

  • proximity = similarity of vectors

  • proximity ≈ inverse of distance

  • Recall: We do this because we want to get away from the you’re-either-in-or-out Boolean model.

  • Instead: rank more relevant documents higher than less relevant documents


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