Search (310 results, page 1 of 16)

  • × theme_ss:"Suchmaschinen"
  1. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.07 
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    Date
    7. 2.1996 22:38:41
    Pages
    22 S
  2. Mukherjea, S.; Hirata, K.; Hara, Y.: Towards a multimedia World-Wide Web information retrieval engine (1997) 0.05 
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    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1181-1191
  3. Ganslmayer, K.: Google: Finden, was Google nicht sieht (2006) 0.05 
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    Date
    24. 6.2006 9:29:44
  4. Breyer, K.: Kommerz statt Information (2002) 0.05 
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    Date
    9. 5.2002 21:21:22
  5. Boldi, P.; Santini, M.; Vigna, S.: PageRank as a function of the damping factor (2005) 0.04 
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    Abstract
    PageRank is defined as the stationary state of a Markov chain. The chain is obtained by perturbing the transition matrix induced by a web graph with a damping factor alpha that spreads uniformly part of the rank. The choice of alpha is eminently empirical, and in most cases the original suggestion alpha=0.85 by Brin and Page is still used. Recently, however, the behaviour of PageRank with respect to changes in alpha was discovered to be useful in link-spam detection. Moreover, an analytical justification of the value chosen for alpha is still missing. In this paper, we give the first mathematical analysis of PageRank when alpha changes. In particular, we show that, contrarily to popular belief, for real-world graphs values of alpha close to 1 do not give a more meaningful ranking. Then, we give closed-form formulae for PageRank derivatives of any order, and an extension of the Power Method that approximates them with convergence O(t**k*alpha**t) for the k-th derivative. Finally, we show a tight connection between iterated computation and analytical behaviour by proving that the k-th iteration of the Power Method gives exactly the PageRank value obtained using a Maclaurin polynomial of degree k. The latter result paves the way towards the application of analytical methods to the study of PageRank.
    Date
    16. 1.2016 10:22:28
  6. Williamson, N.J.: Knowledge structures and the Internet : progress and prospects (2006) 0.03 
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    Date
    27.12.2008 15:56:22
    Source
    Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch
  7. Levy, S.: Google inside : Wie Google denkt, arbeitet und unser Leben verändert (2012) 0.03 
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    Classification
    KNZ (FH K)
    Date
    4.12.2015 14:29:01
    GHBS
    KNZ (FH K)
  8. Park, E.-K.; Ra, D.-Y.; Jang, M.-G.: Techniques for improving web retrieval effectiveness (2005) 0.03 
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    Date
    26.12.2007 20:28:29
  9. Sauer, D.: Alles schneller finden (2001) 0.03 
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    Date
    1. 8.1997 14:03:29
    11.11.2001 17:25:22
    Source
    Com!online. 2001, H.12, S.24-29
  10. Bharat, K.: SearchPad : explicit capture of search context to support Web search (2000) 0.03 
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  11. Patzwaldt, K.: Google Inside (2005) 0.03 
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    Date
    10. 6.2005 17:43:22
    Source
    ¬Die Google-Gesellschaft: Vom digitalen Wandel des Wissens. Hrsg.: K. Lehmann, M. Schetsche
  12. Loeper, D. von: Sherlock Holmes im Netz (1997) 0.02 
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    Date
    22. 2.1997 19:50:29
  13. Campbell, K.: Understanding and comparing search engines (1996) 0.02 
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  14. Niedermair, K.: Gefährden Suchmaschinen und Discovery-Systeme die informationelle Autonomie? (2014) 0.02 
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  15. Auletta, K: Googled : the end of the world as we know it (2009) 0.02 
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    Date
    11.12.2009 18:29:36
  16. Lewandowski, D.: Alles nur noch Google? : Entwicklungen im Bereich der WWW-Suchmaschinen (2002) 0.02 
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  17. Becker, F.: Internet-Suchmaschinen : Funktionsweise und Beurteilung (1999) 0.02 
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    23.10.1996 17:26:29
    22. 3.2008 14:04:11
  18. Lemm, K.: Find' ich gut (1999) 0.02 
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  19. Lischka, K.; Kremp, M.: Was der Google-Gegner weiß - und was nicht (2009) 0.02 
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