Search (174 results, page 1 of 9)

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  1. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.05
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    Date
    25. 8.2005 17:42:22
  2. 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) 0.05
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    Date
    22. 7.2006 16:32:57
  3. Birmingham, J.: Internet search engines (1996) 0.04
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    Date
    10.11.1996 16:36:22
  4. Koch, T.: Searching the Web : systematic overview over indexes (1995) 0.03
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    Source
    Wissen in elektronischen Netzwerken: Strukturierung, Erschließung und Retrieval von Informationsressourcen im Internet. Eine Auswahl von Vorträgen der 19. Jahrestagung der Gesellschaft für Klassifikation, Basel 1995. Hrsg.: H.-C. Hobohm u. H.-J. Wätjen
  5. 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/.
  6. Large, A.; Beheshti, J.; Rahman, T.: Design criteria for children's Web portals : the users speak out (2002) 0.02
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    Date
    2. 6.2005 10:34:22
  7. Furner, J.: ¬A unifying model of document relatedness for hybrid search engines (2003) 0.02
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    Date
    11. 9.2004 17:32:22
  8. Chang, C.-H.; Hsu, C.-C.: Customizable multi-engine search tool with clustering (1997) 0.02
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    Date
    1. 8.1996 22:08:06
  9. Bekavac, B.; Herget, J.; Hierl, S.; Öttl, S.: Visualisierungskomponenten bei webbasierten Suchmaschinen : Methoden, Kriterien und ein Marktüberblick (2007) 0.02
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    Source
    Information - Wissenschaft und Praxis. 58(2007) H.3, S.149-158
  10. Truran, M.; Schmakeit, J.-F.; Ashman, H.: ¬The effect of user intent on the stability of search engine results (2011) 0.02
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  11. Ding, Y.; Yan, E.; Frazho, A.; Caverlee, J.: PageRank for ranking authors in co-citation networks (2009) 0.02
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    Abstract
    This paper studies how varied damping factors in the PageRank algorithm influence the ranking of authors and proposes weighted PageRank algorithms. We selected the 108 most highly cited authors in the information retrieval (IR) area from the 1970s to 2008 to form the author co-citation network. We calculated the ranks of these 108 authors based on PageRank with the damping factor ranging from 0.05 to 0.95. In order to test the relationship between different measures, we compared PageRank and weighted PageRank results with the citation ranking, h-index, and centrality measures. We found that in our author co-citation network, citation rank is highly correlated with PageRank with different damping factors and also with different weighted PageRank algorithms; citation rank and PageRank are not significantly correlated with centrality measures; and h-index rank does not significantly correlate with centrality measures but does significantly correlate with other measures. The key factors that have impact on the PageRank of authors in the author co-citation network are being co-cited with important authors.
  12. Sachse, J.: ¬The influence of snippet length on user behavior in mobile web search (2019) 0.02
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    Date
    20. 1.2015 18:30:22
  13. Fischer, T.; Neuroth, H.: SSG-FI - special subject gateways to high quality Internet resources for scientific users (2000) 0.02
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    Date
    22. 6.2002 19:40:42
  14. Cheng, S.; YunTao, P.; JunPeng, Y.; Hong, G.; ZhengLu, Y.; ZhiYu, H.: PageRank, HITS and impact factor for journal ranking (2009) 0.02
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    Abstract
    Journal citation measures are one of the most widely used bibliometric tools. The most well-known measure is the ISI Impact Factor, under the standard definition, the impact factor of journal j in a given year is the average number of citations received by papers published in the previous two years of journal j. However, the impact factor has its "intrinsic" limitations, it is a ranking measure based fundamentally on a pure counting of the in-degrees of nodes in the network, and its calculation does not take into account the "impact" or "prestige" of the journals in which the citations appear. Google's PageRank algorithm and Kleinberg's HITS method are webpage ranking algorithm, they compute the scores of webpages based on a combination of the number of hyperlinks that point to the page and the status of pages that the hyperlinks originate from, a page is important if it is pointed to by other important pages. We demonstrate how popular webpage algorithm PageRank and HITS can be used ranking journal, and we compared ISI impact factor, PageRank and HITS for journal ranking, and with PageRank and HITS compute respectively including self-citation and non self-citation, and discussed the merit and shortcomings and the scope of application that the various algorithms are used to rank journal.
  15. El-Ramly, N.; Peterson. R.E.; Volonino, L.: Top ten Web sites using search engines : the case of the desalination industry (1996) 0.02
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    Abstract
    The desalination industry involves the desalting of sea or brackish water and achieves the purpose of increasing the worls's effective water supply. There are approximately 4.000 desalination Web sites. The six major Internet search engines were used to determine, according to each of the six, the top twenty sites for desalination. Each site was visited and the 120 gross returns were pared down to the final ten - the 'Top Ten'. The Top Ten were then analyzed to determine what it was that made the sites useful and informative. The major attributes were: a) currency (up-to-date); b) search site capability; c) access to articles on desalination; d) newsletters; e) databases; f) product information; g) online conferencing; h) valuable links to other sites; l) communication links; j) site maps; and k) case studies. Reasons for having a Web site and the current status and prospects for Internet commerce are discussed
  16. Song, R.; Luo, Z.; Nie, J.-Y.; Yu, Y.; Hon, H.-W.: Identification of ambiguous queries in web search (2009) 0.02
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  17. MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000) 0.01
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    Date
    22. 6.2002 19:40:22
  18. Vidmar, D.J.: Darwin on the Web : the evolution of search tools (1999) 0.01
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    Source
    Computers in libraries. 19(1999) no.5, S.22-28
  19. Dunning, A.: Do we still need search engines? (1999) 0.01
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    Source
    Ariadne. 1999, no.22
  20. Bawden, D.: Google and the universe of knowledge (2008) 0.01
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    Date
    7. 6.2008 16:22:20

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