Abstract: In real world use of test collection methods, it is essential that the query test set be representative of the work load expected in the actual application. Using a random sample of queries from a media company's query log as a 'gold standard' test set we demonstrate that biases in sitemap-derived and top n query sets can lead to significant perturbations in engine rankings and big differences in estimated performance levels.
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