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Use q0 and compute precision and recall graph
Use qm and compute precision recall graph
Assess on all documents in the collection
Spectacular improvements, but … it’s cheating!
Partly due to known relevant documents ranked higher
Must evaluate with respect to documents not seen by user
Use documents in residual collection (set of documents minus those assessed relevant)
Measures usually then lower than for original query
But a more realistic evaluation
Relative performance can be validly compared
Empirically, one round of relevance feedback is often very useful. Two rounds is sometimes marginally useful.
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