Search (75 results, page 1 of 4)

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  1. Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012) 0.06 
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    Date
    20. 4.2012 13:19:22
  2. Spink, A.; Gunar, O.: E-Commerce Web queries : Excite and AskJeeves study (2001) 0.05 
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  3. Alqaraleh, S.; Ramadan, O.; Salamah, M.: Efficient watcher based web crawler design (2015) 0.05 
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    Date
    20. 1.2015 18:30:22
  4. Boldi, P.; Santini, M.; Vigna, S.: PageRank as a function of the damping factor (2005) 0.05 
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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
  5. Sugiura, A.; Etzioni, O.: Query routing for Web search engines : architecture and experiments (2000) 0.04 
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  6. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.03 
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  7. Zamir, O.; Etzioni, O.: Grouper : a dynamic clustering interface to Web search results (1999) 0.03 
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  8. Selberg, E.; Etzioni, O.: ¬The MetaCrawler architecture for resource aggregation on the Web (1997) 0.02 
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  9. Kopp, O.: Google Hummingbird-Algorithmus-Update : Infos & Hintergründe (2013) 0.02 
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  10. Sundin, O.; Lewandowski, D.; Haider, J.: Whose relevance? : Web search engines as multisided relevance machines (2022) 0.02 
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  11. MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000) 0.02 
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    Date
    22. 6.2002 19:40:22
  12. Vidmar, D.J.: Darwin on the Web : the evolution of search tools (1999) 0.02 
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    Source
    Computers in libraries. 19(1999) no.5, S.22-28
  13. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.02 
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    Date
    25. 8.2005 17:42:22
  14. Dunning, A.: Do we still need search engines? (1999) 0.02 
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    Source
    Ariadne. 1999, no.22
  15. Bawden, D.: Google and the universe of knowledge (2008) 0.02 
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    Date
    7. 6.2008 16:22:20
  16. Burckhardt, D.: Historische Rezensionen online : Eine thematische Suchmaschine von Clio-online (2007) 0.02 
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    Abstract
    Historische Rezensionen online (HR O) ist eine auf geschichtswissenschaftliche Rezensionen fokussierte Suchmaschine. Sie berücksichtigt ausschließlich fachwissenschaftliche Besprechungen, die im Web veröffentlicht wurden und ohne Zugangsbeschränkungen im Volltext zur Verfügung stehen. Eingebunden in das Portal des DFG-geförderten Kooperationsprojektes Clio-online sind über eine einfache Suchmaske gegenwärtig mehr als 35.000 Rezensionen zu über 30.000 Publikationen im Volltext recherchierbar. Statt unter hohem Aufwand Daten zu erstellen oder manuell zu katalogisieren, werden bei HRO bereits vorhandene Texte und bibliografische Daten voll automatisiert gesammelt, verknüpft und in einem zentralen Suchindex aufbereitet. Die Spezialisierung auf eine Textsorte und die Anreicherung der Rezensionstexte mit den in der Verbunddatenbank des GBV bereits erfassten bibliografischen Informationen erlauben zudem zielgerichtete Anfragen nach bestimmten Autoren oder eingeschränkt auf einzelne Themenbereiche, ein Mehrwert für die Nutzerinnen und Nutzer von HRO gegenüber kommerziellen Suchmaschinen.
  17. Hoeber, O.: Human-centred Web search (2012) 0.02 
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  18. Birmingham, J.: Internet search engines (1996) 0.02 
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    Date
    10.11.1996 16:36:22
  19. Hock, R.E.: How to do field searching in Web search engines : a field trip (1998) 0.02 
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    Source
    Online. 22(1998) no.3, S.18-22
  20. Hoeber, O.; Yang, X.D.: Evaluating WordBars in exploratory Web search scenarios (2008) 0.02 
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