Search (1052 results, page 1 of 53)

  • × theme_ss:"Suchmaschinen"
  1. Amato, G.; Rabitti, F.; Savino, P.: Multimedia document search on the Web (1998) 0.05
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    Abstract
    Presents a multimedia model which describes the various multimedia components, their structure and their relationships with a pre-defined taxonomy of concepts, in order to support search engine information retrieval process
    Date
    1. 8.1996 22:08:06
    Footnote
    Contribution to a special issue devoted to the Proceedings of the 7th International World Wide Web Conference, held 14-18 April 1998, Brisbane, Australia
    Type
    a
  2. Berinstein, P.: Turning visual : image search engines on the Web (1998) 0.05
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    Abstract
    Gives an overview of image search engines on the Web. They work by: looking for graphics files; looking for a caption; looking for Web sites whose titles indicate the presence of picturres on a certain subject; or employing human intervention. Describes the image search capabilities of: AltaVista; Amazing Picture Machine (Http://www.ncrtec.org/picture.htm); HotBot; ImageSurfer (http://ipix.yahoo.com); Lycos; Web Clip Art Search Engine and WebSEEK. The search engines employing human intervention provide the best results
    Source
    Online. 22(1998) no.3, S.37-38,40-42
    Type
    a
  3. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.04
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    Date
    7. 2.1996 22:38:41
    Pages
    22 S
    Type
    p
  4. Schüler, P.: Wertes Wissen : Knowledge Management vermeidet Datenfriedhöfe (2001) 0.04
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    Date
    8.11.2001 19:58:22
    Type
    a
  5. Höfer, W.: Detektive im Web (1999) 0.04
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    Date
    22. 8.1999 20:22:06
    Type
    a
  6. Rensman, J.: Blick ins Getriebe (1999) 0.04
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    Date
    22. 8.1999 21:22:59
    Type
    a
  7. Nicholson, S.; Sierra, T.; Eseryel, U.Y.; Park, J.-H.; Barkow, P.; Pozo, E.J.; Ward, J.: How much of it is real? : analysis of paid placement in Web search engine results (2006) 0.04
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    Abstract
    Most Web search tools integrate sponsored results with results from their internal editorial database in providing results to users. The goal of this research is to get a better idea of how much of the screen real estate displays real editorial results as compared to sponsored results. The overall average results are that 40% of all results presented on the first screen are real results, and when the entire first Web page is considered, 67% of the results are nonsponsored results. For general search tools such as Google, 56% of the first screen and 82% of the first Web page contain nonsponsored results. Other results include that query structure makes a significant difference in the percentage of nonsponsored results returned by a search. Similarly, the topic of the query also can have a significant effect on the percentage of sponsored results displayed by most Web search tools.
    Date
    22. 7.2006 16:32:57
    Type
    a
  8. MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000) 0.04
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    Abstract
    Describes the development of EEVL and outlines the services offered. The potential market for EEVL is discussed, and a case study of promotional activities is presented
    Date
    22. 6.2002 19:40:22
    Type
    a
  9. Dunning, A.: Do we still need search engines? (1999) 0.04
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    Source
    Ariadne. 1999, no.22
    Type
    a
  10. Vidmar, D.J.: Darwin on the Web : the evolution of search tools (1999) 0.03
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    Source
    Computers in libraries. 19(1999) no.5, S.22-28
    Type
    a
  11. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.03
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    Date
    25. 8.2005 17:42:22
    Type
    a
  12. ap: Suchmaschinen in neuem Gewand : Metaspinner kennt 600 Millionen Seiten (1999) 0.03
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    Date
    3. 5.1997 8:44:22
    Type
    a
  13. Bawden, D.: Google and the universe of knowledge (2008) 0.03
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    Date
    7. 6.2008 16:22:20
    Type
    a
  14. Baeza-Yates, R.; Boldi, P.; Castillo, C.: Generalizing PageRank : damping functions for linkbased ranking algorithms (2006) 0.03
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    Abstract
    This paper introduces a family of link-based ranking algorithms that propagate page importance through links. In these algorithms there is a damping function that decreases with distance, so a direct link implies more endorsement than a link through a long path. PageRank is the most widely known ranking function of this family. The main objective of this paper is to determine whether this family of ranking techniques has some interest per se, and how different choices for the damping function impact on rank quality and on convergence speed. Even though our results suggest that PageRank can be approximated with other simpler forms of rankings that may be computed more efficiently, our focus is of more speculative nature, in that it aims at separating the kernel of PageRank, that is, link-based importance propagation, from the way propagation decays over paths. We focus on three damping functions, having linear, exponential, and hyperbolic decay on the lengths of the paths. The exponential decay corresponds to PageRank, and the other functions are new. Our presentation includes algorithms, analysis, comparisons and experiments that study their behavior under different parameters in real Web graph data. Among other results, we show how to calculate a linear approximation that induces a page ordering that is almost identical to PageRank's using a fixed small number of iterations; comparisons were performed using Kendall's tau on large domain datasets.
    Date
    16. 1.2016 10:22:28
    Type
    a
  15. Boldi, P.; Santini, M.; Vigna, S.: PageRank as a function of the damping factor (2005) 0.03
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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
    Type
    a
  16. Auf der Suche nach Suchmaschinen (1996) 0.03
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    Source
    Cogito. 12(1996) H.5, S.19-22
    Type
    a
  17. Birmingham, J.: Internet search engines (1996) 0.03
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    Abstract
    Basically a good listing in table format of features from the major search engines
    Date
    10.11.1996 16:36:22
  18. Bager, J.: Weniger ist mehr : Internet-Suchmaschinen richtig einsetzen (1998) 0.03
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    Date
    29.12.1998 11:22:00
    Type
    a
  19. Lob, S.: Per Mausklick auf die neusten Nachrichten : Internet-Suchmaschinen liefern Presse-Überblicke und stellen persönliche Zeitungen zusammen (1998) 0.03
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    Date
    29.12.1998 11:22:25
    Type
    a
  20. Hannemann, M.: Online ins Schlaraffenland der Wissenschaft : Literatur-Recherche im Internet ist ein teures Unterfangen ohne Erfolgsgarantie - Doch wer systematisch sucht, gelangt zügig ans Ziel (1999) 0.03
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    Date
    3. 5.1997 8:44:22
    Type
    a

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