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Thelwall, M.: Assessing web search engines : a webometric approach (2011)
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- Abstract
- Information Retrieval (IR) research typically evaluates search systems in terms of the standard precision, recall and F-measures to weight the relative importance of precision and recall (e.g. van Rijsbergen, 1979). All of these assess the extent to which the system returns good matches for a query. In contrast, webometric measures are designed specifically for web search engines and are designed to monitor changes in results over time and various aspects of the internal logic of the way in which search engine select the results to be returned. This chapter introduces a range of webometric measurements and illustrates them with case studies of Google, Bing and Yahoo! This is a very fertile area for simple and complex new investigations into search engine results.
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Thelwall, M.: Web impact factors and search engine coverage (2000)
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Thelwall, M.; Stuart, D.: Web crawling ethics revisited : cost, privacy, and denial of service (2006)
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Thelwall, M.: Directing students to new information types : a new role for Google in literature searches? (2005)
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Vaughan, L.; Thelwall, M.: Search engine coverage bias : evidence and possible causes (2004)
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Thelwall, M.: Can Google's PageRank be used to find the most important academic Web pages? (2003)
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Thelwall, M.; Vaughan, L.: New versions of PageRank employing alternative Web document models (2004)
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Thelwall, M.: Extracting accurate and complete results from search engines : case study windows live (2008)
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Thelwall, M.; Binns, R.; Harries, G.; Page-Kennedy, T.; Price, L.; Wilkinson, D.: Custom interfaces for advanced queries in search engines (2001)
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Thelwall, M.: Quantitative comparisons of search engine results (2008)
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