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Evaluation
Graphs are good, but people want summary measures!
Precision at fixed retrieval level
Precision-at-k: Precision of top k results
Perhaps appropriate for most of web search: all people want are good matches on the first one or two results pages
But: averages badly and has an arbitrary parameter of k
11-point interpolated average precision
The standard measure in the early TREC competitions: you take the precision at 11 levels of recall varying from 0 to 1 by tenths of the documents, using interpolation (the value for 0 is always interpolated!), and average them
Evaluates performance at all recall levels
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