Consider the data in the following table for the query-dependent scoring. Suppose that we were given...
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Consider the data in the following table for the query-dependent scoring. Suppose that we were given static quality scores of 2 for Doc1 and 1 for Doc2. Determine under the following equation what ranges of static quality score for Doc3 result in it being the first, second or third result for the query best car insurance? Term Car Auto Insurance Best tf 1 0.5 1 1 Net-score (q. d) = g(d) + QUERY Idf 1.65 2.08 1.62 1.5 v (q). V(d) |V (q)||V (a)| Tf-idf 1.65 weights Doc1 0.56 15.12 1.04 0.353 1.06 1.62 0.55 0 1.5 0.51 7.14 PRODUCT Doc2 2.24 11.65 18.15 0 Doc3 13.44 0 15.95 8.67 Consider the data in the following table for the query-dependent scoring. Suppose that we were given static quality scores of 2 for Doc1 and 1 for Doc2. Determine under the following equation what ranges of static quality score for Doc3 result in it being the first, second or third result for the query best car insurance? Term Car Auto Insurance Best tf 1 0.5 1 1 Net-score (q. d) = g(d) + QUERY Idf 1.65 2.08 1.62 1.5 v (q). V(d) |V (q)||V (a)| Tf-idf 1.65 weights Doc1 0.56 15.12 1.04 0.353 1.06 1.62 0.55 0 1.5 0.51 7.14 PRODUCT Doc2 2.24 11.65 18.15 0 Doc3 13.44 0 15.95 8.67
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Related Book For
Applied Regression Analysis and Other Multivariable Methods
ISBN: 978-1285051086
5th edition
Authors: David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, Eli S. Rosenberg
Posted Date:
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