2010
DOI: 10.1007/978-90-481-9178-9_8
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Web Genre Analysis: Use Cases, Retrieval Models, and Implementation Issues

Abstract: People who search the World Wide Web often have a multifaceted understanding of their information need: they know what they are searching for, and they know of which form or type the desired documents should be. The former aspect relates to the content of a desired document (= topic), the latter to the presentation of its content and the intended target group. Due to the different user groups and the technical means of the World Wide Web several favorite specializations of Web documents emerged: a document may… Show more

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Cited by 9 publications
(7 citation statements)
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“…Some experimental search systems that make use of genre have been proposed or developed (Bretan, Dewe, Hallberg, Wolkert, & Karlgren, 1998;Glover, Lawrence, Gordon, Birmingham, & Giles, 2001;Roussinov & Chen, 2001;Stein et al, 2011;Xu, Cao, Li, Craswell, & Huang, 2007), but in most cases these systems are based on filtering, categorizing or labeling search results by genre, which assumes that searchers are able to specify their preferred genres while searching. This is a tenuous assumption given what is known about the anomalous state of human information needs (Belkin, 1980).…”
Section: Genre Effectsmentioning
confidence: 99%
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“…Some experimental search systems that make use of genre have been proposed or developed (Bretan, Dewe, Hallberg, Wolkert, & Karlgren, 1998;Glover, Lawrence, Gordon, Birmingham, & Giles, 2001;Roussinov & Chen, 2001;Stein et al, 2011;Xu, Cao, Li, Craswell, & Huang, 2007), but in most cases these systems are based on filtering, categorizing or labeling search results by genre, which assumes that searchers are able to specify their preferred genres while searching. This is a tenuous assumption given what is known about the anomalous state of human information needs (Belkin, 1980).…”
Section: Genre Effectsmentioning
confidence: 99%
“…Genre has been recognized as a possible means of supporting more targeted IR through automatic identification of genres on the Web (Karlgren, 1999;Stein et al, 2011). An early genre analysis of a sample of 837 web pages found 48 different genres represented (Crowston, & Williams, 2000).…”
Section: Genre Effectsmentioning
confidence: 99%
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“…A demo of X-Site was shown at SIGIR 2007 (Yeung et al, 2007). While X-Site has been devised for professionals (namely software engineers) who can exploit the concept of genre to rapidly find information that is task-appropriate, situationally-relevant and mission-critical for their job, WEGA (an acronym that stands for WEb Genre Analysis 3 ), has been developed at the Bauhaus University Weimar by Prof Benno Stein's team (Stein et al, 2008) for the web and for common web users. WEGA is an add-on that superimposes genre labels a few seconds after the result list is returned by a general-purpose search engine, namely Mozilla Firefox.…”
Section: The 2nd Bcs-irsg Symposium On Future Directions In Informatimentioning
confidence: 99%
“…3.1 WEGA WEGA performs the classification of search results using eight genre classes for German and English web pages. WEGA implementation is described in Stein et al (2008). The genre classes worked out as described in Meyer zu Eissen and Stein (2004), and implemented in the version of WEGA used in this paper are the following:…”
Section: Wega's Preliminary Assessmentmentioning
confidence: 99%