Search (12 results, page 1 of 1)

  • × theme_ss:"Retrievalalgorithmen"
  • × theme_ss:"Suchmaschinen"
  • × type_ss:"a"
  1. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.01
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    Date
    25. 8.2005 17:42:22
  2. Kanaeva, Z.: Ranking: Google und CiteSeer (2005) 0.01
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    Date
    20. 3.2005 16:23:22
  3. Dominich, S.; Skrop, A.: PageRank and interaction information retrieval (2005) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.1, S.63-69
  4. Radev, D.; Fan, W.; Qu, H.; Wu, H.; Grewal, A.: Probabilistic question answering on the Web (2005) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.6, S.571-583
  5. Thelwall, M.; Vaughan, L.: New versions of PageRank employing alternative Web document models (2004) 0.01
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    Abstract
    Introduces several new versions of PageRank (the link based Web page ranking algorithm), based on an information science perspective on the concept of the Web document. Although the Web page is the typical indivisible unit of information in search engine results and most Web information retrieval algorithms, other research has suggested that aggregating pages based on directories and domains gives promising alternatives, particularly when Web links are the object of study. The new algorithms introduced based on these alternatives were used to rank four sets of Web pages. The ranking results were compared with human subjects' rankings. The results of the tests were somewhat inconclusive: the new approach worked well for the set that includes pages from different Web sites; however, it does not work well in ranking pages that are from the same site. It seems that the new algorithms may be effective for some tasks but not for others, especially when only low numbers of links are involved or the pages to be ranked are from the same site or directory.
  6. Ding, Y.; Yan, E.; Frazho, A.; Caverlee, J.: PageRank for ranking authors in co-citation networks (2009) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.11, S.2229-2243
  7. Furner, J.: ¬A unifying model of document relatedness for hybrid search engines (2003) 0.00
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    Date
    11. 9.2004 17:32:22
  8. Meghabghab, G.: Google's Web page ranking applied to different topological Web graph structures (2001) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.9, S.736-747
  9. White, R.W.; Jose, J.M.; Ruthven, I.: Using top-ranking sentences to facilitate effective information access (2005) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.10, S.1113-1125
  10. Watters, C.; Amoudi, A.: Geosearcher : location-based ranking of search engine results (2003) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.2, S.140-151
  11. Chen, Z.; Meng, X.; Fowler, R.H.; Zhu, B.: Real-time adaptive feature and document learning for Web search (2001) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.8, S.655-665
  12. Bilal, D.: Ranking, relevance judgment, and precision of information retrieval on children's queries : evaluation of Google, Yahoo!, Bing, Yahoo! Kids, and ask Kids (2012) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.9, S.1879-1896