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Bar-Ilan, J.: Comparing rankings of search results on the Web (2005)
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- Abstract
- The Web has become an information source for professional data gathering. Because of the vast amounts of information on almost all topics, one cannot systematically go over the whole set of results, and therefore must rely on the ordering of the results by the search engine. It is well known that search engines on the Web have low overlap in terms of coverage. In this study we measure how similar are the rankings of search engines on the overlapping results. We compare rankings of results for identical queries retrieved from several search engines. The method is based only on the set of URLs that appear in the answer sets of the engines being compared. For comparing the similarity of rankings of two search engines, the Spearman correlation coefficient is computed. When comparing more than two sets Kendall's W is used. These are well-known measures and the statistical significance of the results can be computed. The methods are demonstrated on a set of 15 queries that were submitted to four large Web search engines. The findings indicate that the large public search engines on the Web employ considerably different ranking algorithms.
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Bar-Ilan, J.; Gutman,T.: How do search engines respond to some non-English queries? (2005)
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Bar-Ilan, J.: Methods for measuring search engine performance over time (2002)
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Bar-Ilan, J.: Evaluating the stability of the search tools Hotbot and Snap : a case study (2000)
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Bar-Ilan, J.: On the overlap, the precision and estimated recall of search engines : a case study of the query 'Erdös' (1998)
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Bar-Ilan, J.: ¬The use of Web search engines in information science research (2003)
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Bar-Ilan, J.: Web links and search engine ranking : the case of Google and the query "Jew" (2006)
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Bar-Ilan, J.; Belous, Y.: Children as architects of Web directories : an exploratory study (2007)
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Bar-Ilan, J.; Keenoy, K.; Yaari, E.; Levene, M.: User rankings of search engine results (2007)
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Zhitomirsky-Geffet, M.; Bar-Ilan, J.; Levene, M.: Analysis of change in users' assessment of search results over time (2017)
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Bar-Ilan, J.; Levene, M.; Mat-Hassan, M.: Methods for evaluating dynamic changes in search engine rankings : a case study (2006)
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