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The term frequency tft,d of term t in document d is defined as the number of times that t occurs in d.
We want to use tf when computing query-document match scores. But how?
Raw term frequency is not what we want:
A document with 10 occurrences of the term is more relevant than a document with 1 occurrence of the term.
But not 10 times more relevant.
Relevance does not increase proportionally with term frequency.
NB: frequency = count in IR
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