Imagine you are designing an inverted list structure that will provide everything needed to calculate query likelihood with Dirichlet smoothing (Section 7.3.1). Which of the following are helpful to calculate a Dirichlet-smoothed query-likelihood value and can be stored efficiently in an inverted list (as before)? average document length collection frequency (how often this term occurs in collection) document length locations of term in each document product of IDF and model's tf component IDF value k₁ and k₂ and b fl smoothed score for term in each document unstemmed form of the inverted list's term term count (aka term frequency) total count of terms in the indexed documents whether inverted list's term is a stopword

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