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MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000)
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- Date
- 22. 6.2002 19:40:22
-
Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000)
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- Date
- 25. 8.2005 17:42:22
-
Bawden, D.: Google and the universe of knowledge (2008)
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- 7. 6.2008 16:22:20
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Song, R.; Luo, Z.; Nie, J.-Y.; Yu, Y.; Hon, H.-W.: Identification of ambiguous queries in web search (2009)
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- Abstract
- It is widely believed that many queries submitted to search engines are inherently ambiguous (e.g., java and apple). However, few studies have tried to classify queries based on ambiguity and to answer "what the proportion of ambiguous queries is". This paper deals with these issues. First, we clarify the definition of ambiguous queries by constructing the taxonomy of queries from being ambiguous to specific. Second, we ask human annotators to manually classify queries. From manually labeled results, we observe that query ambiguity is to some extent predictable. Third, we propose a supervised learning approach to automatically identify ambiguous queries. Experimental results show that we can correctly identify 87% of labeled queries with the approach. Finally, by using our approach, we estimate that about 16% of queries in a real search log are ambiguous.
-
Toms, E.G.; Taves, A.R.: Measuring user perceptions of Web site reputation (2004)
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Hupfer, M.E.; Detlor, B.: Gender and Web information seeking : a self-concept orientation model (2006)
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- Abstract
- Adapting the consumer behavior selectivity model to the Web environment, this paper's key contribution is the introduction of a self-concept orientation model of Web information seeking. This model, which addresses gender, effort, and information content factors, questions the commonly assumed equivalence of sex and gender by specifying the measurement of gender-related selfconcept traits known as self- and other-orientation. Regression analyses identified associations between self-orientation, other-orientation, and self-reported search frequencies for content with identical subject domain (e.g., medical information, government information) and differing relevance (i.e., important to the individual personally versus important to someone close to him or her). Self- and other-orientation interacted such that when individuals were highly self-oriented, their frequency of search for both self- and other-relevant information depended on their level of other-orientation. Specifically, high-self/high-other individuals, with a comprehensive processing strategy, searched most often, whereas high-self/low-other respondents, with an effort minimization strategy, reported the lowest search frequencies. This interaction pattern was even more pronounced for other-relevant information seeking. We found no sex differences in search frequency for either self-relevant or other-relevant information.
-
Lakshminarayana, S.: Quality search content : a reality with next generation browsers (2007)
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- Content
- "Sir, The Internet has become the means to obtain information or to transact business. Most of the research, including recent articles by Declan Butler (2006) and Kevin Yager (2006), note a demand for quality search content from the Web. User interactions with the Internet are performed through a Web browser. An average user usually browses through, at the most, thirty to forty links out of the total delivery set, which can be quite large, from a search engine. In the early 1990s, browsers were textual, with no graphical presentations available. Subsequently, browsers could display graphic content. Some browsers can view content in the style and font desired by the user, but with limited operability. However, these browsers do not inherit any intelligence from technological research to employ as an expert system for the user. In addition, search engines have been left on their own to grow with technology. On the other hand, using the same technology has complicated Web content. This may lead to the best search engines rarely doing poorly, and the worst ones rarely doing well, but any result is possible (Salganik, Dodds, & Watts, 2006). Active research is being done with search engines to address the abundance of technological development for quality delivery of content. Some search engines look at the country, language, browser technical details (e.g., version, compatibility), and other factors before delivery. However the missing factor is user characteristics.
Search engines now need to concentrate on addressing personalized searches by collecting more information on user habits, archive search information, style of search, location, educational and other background information before delivery of content. To satisfy a particular user, search engines need to generate a database of user characteristics (e.g., country, level of understanding of search technology, previous searches, applications he/she may use after the search, utility of the information, and the information life cycle), so that it can improve the quality of the content. More categorization of these characteristics will help delivery of appropriately relevant content. At present, browsers do not discriminate among users based upon any of these characteristics to improve content delivery. These additional features, if present in the browser, would form a good interactive interface between the World Wide Web and the user in the near future. Therefore, browser development should take the direction of technical integration with user characteristics and the constant updating of such information by a learning process associated with the user. This could improve the relevance of the retrieved content, i.e., the result set. The more a user browses, the more a browser would learn about that user. The next generation of browsers should have the capacity for intelligence to address issues related to content filtering, address blocking, user friendliness, and various levels of understanding. These browsers should also possess data mining tools so that the search engines could better facilitate user requirements. In such contexts, the browser would act as a self-reviewed catalyst to accelerate the delivery of quality content."
-
Price, A.: Five new Danish subject gateways under development (2000)
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- Date
- 22. 6.2002 19:41:31
-
Eggeling, T.; Kroschel, A.: Alles finden im Web (2000)
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- Date
- 9. 7.2000 14:06:22
-
Poulakos, I.: ¬"Die Leute suchen immer dasselbe" (2001)
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- Date
- 18. 1.1997 12:15:22
-
Sauer, D.: Alles schneller finden (2001)
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- Date
- 11.11.2001 17:25:22
-
Breyer, K.: Kommerz statt Information (2002)
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- Date
- 9. 5.2002 21:21:22
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Gardner, T.; Iannella, R.: Architecture and software solutions (2000)
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- Date
- 22. 6.2002 19:38:24
-
Peereboom, M.: DutchESS : Dutch Electronic Subject Service - a Dutch national collaborative effort (2000)
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- Date
- 22. 6.2002 19:39:23
-
Campbell, D.: Australian subject gateways : political and strategic issues (2000)
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- Date
- 22. 6.2002 19:41:16
-
Hülsmann, M.: Profi-Suche : Suchdienste richtig nutzen (2001)
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- Date
- 11. 8.2001 14:19:22
-
Schüler, P.: Wertes Wissen : Knowledge Management vermeidet Datenfriedhöfe (2001)
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- Date
- 8.11.2001 19:58:22
-
Dresel, R.; Hörnig, D.; Kaluza, H.; Peter, A.; Roßmann, A.; Sieber, W.: Evaluation deutscher Web-Suchwerkzeuge : Ein vergleichender Retrievaltest (2001)
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- Abstract
- Die deutschen Suchmaschinen, Abacho, Acoon, Fireball und Lycos sowie die Web-Kataloge Web.de und Yahoo! werden einem Qualitätstest nach relativem Recall, Precision und Availability unterzogen. Die Methoden der Retrievaltests werden vorgestellt. Im Durchschnitt werden bei einem Cut-Off-Wert von 25 ein Recall von rund 22%, eine Precision von knapp 19% und eine Verfügbarkeit von 24% erreicht
-
Dempsey, L.: ¬The subject gateway : experiences and issues based on the emergence of the Resource Discovery Network (2000)
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- Date
- 22. 6.2002 19:36:13
-
Lewandowski, D.: Alles nur noch Google? : Entwicklungen im Bereich der WWW-Suchmaschinen (2002)
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- Date
- 29. 9.2002 18:49:22
