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  • × theme_ss:"Suchmaschinen"
  1. Price, A.: NOVAGate : a Nordic gateway to electronic resources in the forestry, veterinary and agricultural sciences (2000) 0.05
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    Date
    22. 6.2002 19:41:00
    Location
    N
  2. Head, M.; Archer, N.; Yuan, Y.: World Wide Web navigation aid (2000) 0.03
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  3. Guarino, N.; Masolo, C.; Vetere, G.: OntoSeek : content-based access to the Web (1999) 0.03
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  4. 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/.
  5. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.03
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    Date
    7. 2.1996 22:38:41
    Pages
    22 S
  6. Höfer, W.: Detektive im Web (1999) 0.03
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    Date
    22. 8.1999 20:22:06
  7. Rensman, J.: Blick ins Getriebe (1999) 0.03
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    Date
    22. 8.1999 21:22:59
  8. Gencosman, B.C.; Ozmutlu, H.C.; Ozmutlu, S.: Character n-gram application for automatic new topic identification (2014) 0.03
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    Abstract
    The widespread availability of the Internet and the variety of Internet-based applications have resulted in a significant increase in the amount of web pages. Determining the behaviors of search engine users has become a critical step in enhancing search engine performance. Search engine user behaviors can be determined by content-based or content-ignorant algorithms. Although many content-ignorant studies have been performed to automatically identify new topics, previous results have demonstrated that spelling errors can cause significant errors in topic shift estimates. In this study, we focused on minimizing the number of wrong estimates that were based on spelling errors. We developed a new hybrid algorithm combining character n-gram and neural network methodologies, and compared the experimental results with results from previous studies. For the FAST and Excite datasets, the proposed algorithm improved topic shift estimates by 6.987% and 2.639%, respectively. Moreover, we analyzed the performance of the character n-gram method in different aspects including the comparison with Levenshtein edit-distance method. The experimental results demonstrated that the character n-gram method outperformed to the Levensthein edit distance method in terms of topic identification.
    Object
    n-grams
  9. Stock, M.; Stock, W.G.: Recherchieren im Internet (2004) 0.02
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    Date
    27.11.2005 18:04:22
  10. Iivonen, M.; White, M.D.: ¬The choice of initial web search strategies : a comparison between Finnish and American searchers (2001) 0.02
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    Abstract
    This paper uses a mix of qualitative and quantitative methodology to analyse differences between Finnish and American web searchers (n=27 per country) in their choice of initial search strategies (direct address, subject directory and search engines) and their reasoning underlying these choices, with data gathered via a questionnaire. The paper looks at these differences for four types of questions with two variables: closed/open and predictable/unpredictable source of answer (n=16 questions per searcher; total n=864 questions). The paper found significant differences between the two groups' initial search strategies and for three of the four types of questions. The reasoning varied across countries and questions as well, with Finns mentioning fewer reasons although both groups mentioned in aggregate a total of 1,284 reasons in twenty-four reason categories. The reasoning indicated that both country groups considered not only question-related reasons but also source- and search-strategy related reasons in making their decision. The research raises questions about considering cultural differences in designing web search access mechanisms.
  11. Pharo, N.: Web information search strategies : a model for classifying Web interaction (1999) 0.02
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  12. Spree, U.; Feißt, N.; Lühr, A.; Piesztal, B.; Schroeder, N.; Wollschläger, P.: Semantic search : State-of-the-Art-Überblick zu semantischen Suchlösungen im WWW (2011) 0.02
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  13. 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
  14. 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
  15. 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
  16. ap: Suchmaschinen in neuem Gewand : Metaspinner kennt 600 Millionen Seiten (1999) 0.02
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    Date
    3. 5.1997 8:44:22
  17. Dunning, A.: Do we still need search engines? (1999) 0.02
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    Source
    Ariadne. 1999, no.22
  18. Bawden, D.: Google and the universe of knowledge (2008) 0.02
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    Date
    7. 6.2008 16:22:20
  19. Ford, N.; Miller, D.; Moss, N.: ¬The role of individual differences in Internet searching : an empirical study (2001) 0.02
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  20. Carroll, N.: Search engine optimization (2009) 0.02
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