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Iteratively estimating pi

  1. Assume that pi constant over all xi in query

      • pi = 0.5 (even odds) for any given doc

  2. Determine guess of relevant document set:

      • V is fixed size set of highest ranked documents on this model (note: now a bit like tf.idf!)

  3. We need to improve our guesses for pi and ri, so

      • Use distribution of xi in docs in V. Let Vi be set of documents containing xi

        • pi = |Vi| / |V|

      • Assume if not retrieved then not relevant

        • ri = (ni – |Vi|) / (N – |V|)

  4. Go to 2. until converges then return ranking


Speaker notes:

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