Search (251 results, page 1 of 13)

  • × theme_ss:"Suchmaschinen"
  1. Eymard, G.; Francony, J.-M.: Vers un serveur d'indexation et de recherche sur le WEB (1999) 0.13
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    Series
    Collection travaux et recherches; UL3
    Source
    Organisation des connaissances en vue de leur intégration dans les systèmes de représentation et de recherche d'information. Ed.: J. Maniez, et al
  2. Lewandowski, D.: Query understanding (2011) 0.11
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    Abstract
    In diesem Kapitel wird beschrieben, wie Suchmaschinen Suchanfragen interpretieren können, um letztendlich den Nutzern besser auf ihren Kontext zugeschnittene Ergebnisse liefern zu können. Nach einer Diskussion der Notwendigkeit und der Einsatzmöglichkeiten des Query Understanding wird aufgezeigt, auf welcher Datenbasis und an welchen Ansatzpunkten Suchanfragen interpretiert werden können. Dann erfolgt eine Erläuterung der Interpretationsmöglichkeiten anhand der Suchanfragen-Facetten von Calderon-Benavides et al. (2010), welcher sich eine Diskussion der Verfahren zur Ermittlung der Facetten anschließt.
    Date
    18. 9.2018 18:22:18
  3. Ding, Y.; Chowdhury, G.; Foo, S.: Organsising keywords in a Web search environment : a methodology based on co-word analysis (2000) 0.10
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    Source
    Dynamism and stability in knowledge organization: Proceedings of the 6th International ISKO-Conference, 10-13 July 2000, Toronto, Canada. Ed.: C. Beghtol et al
  4. Bradley, P.: ¬The great search-engine con-trick (1999) 0.09
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    Source
    Online information 99: 23rd International Online Information Meeting, Proceedings, London, 7-9 December 1999. Ed.: D. Raitt et al
  5. Ardö, A.; Koch, T.: Automatic classification applied to full-text Internet documents in a robot-generated subject index (1999) 0.09
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    Source
    Online information 99: 23rd International Online Information Meeting, Proceedings, London, 7-9 December 1999. Ed.: D. Raitt et al
  6. Green, D.: ¬The evolution of Web searching (1999) 0.09
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    Source
    Online information 99: 23rd International Online Information Meeting, Proceedings, London, 7-9 December 1999. Ed.: D. Raitt et al
  7. Martinez, A.M.; Sanchez, E.F.: Comparing Internet search tools (1999) 0.09
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    Source
    Online information 99: 23rd International Online Information Meeting, Proceedings, London, 7-9 December 1999. Ed.: D. Raitt et al
  8. Arnold, S.: Search engines 2000 : rough running, prone to stall (1999) 0.09
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    Source
    Online information 99: 23rd International Online Information Meeting, Proceedings, London, 7-9 December 1999. Ed.: D. Raitt et al
  9. Pharo, N.: Web information search strategies : a model for classifying Web interaction (1999) 0.08
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    Source
    Vocabulary as a central concept in digital libraries: interdisciplinary concepts, challenges, and opportunities : proceedings of the Third International Conference an Conceptions of Library and Information Science (COLIS3), Dubrovnik, Croatia, 23-26 May 1999. Ed. by T. Arpanac et al
  10. Brueggeman, P.: Full text Web indexes (1997) 0.06
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    Source
    Tradition and innovation: planning our future. Proceedings of the 22nd Annual Conference of the International Association of Aquatic and Marine Science Libraries and Information Centres (IAMSLIC), Monterey Bay, CA, 13-18 Oct. 1996. Ed.: J.W. Markham et al
  11. Dasgupta, S.K.: Search engines : tooles for exploring the Internet (1998) 0.06
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    Source
    Information management in academic and research libraries: Proceedings of the 5th National convention for Automation of Libraries in Education and Research (CALIBER-98), Bhubaneswar, India, 4-5 March 1998. Ed. by M. Mahapatra et al
  12. Krempl, S.: Google muss zerschlagen werden (2007) 0.05
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    Content
    Vgl. die Studie "Maurer, H. et al: Report on dangers and opportunities posed by large search engines, particularly Google" unter: http://www.iicm.tugraz.at/iicm_papers/dangers_google.pdf.
  13. Nait-Baha, L.; Jackiewicz, A.; Djioua, B.; Laublet, P.: Query reformulation for information retrieval on the Web using the point of view methodology : preliminary results (2001) 0.05
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    Abstract
    The work we are presenting is devoted to the information collected on the WWW. By the term collected we mean the whole process of retrieving, extracting and presenting results to the user. This research is part of the RAP (Research, Analyze, Propose) project in which we propose to combine two methods: (i) query reformulation using linguistic markers according to a given point of view; and (ii) text semantic analysis by means of contextual exploration results (Descles, 1991). The general project architecture describing the interactions between the users, the RAP system and the WWW search engines is presented in Nait-Baha et al. (1998). We will focus this paper on showing how we use linguistic markers to reformulate the queries according to a given point of view
  14. Chang, C.-H.; Hsu, C.-C.: Customizable multi-engine search tool with clustering (1997) 0.05
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    Date
    1. 8.1996 22:08:06
  15. Van der Walt, M.: ¬The structure of classification schemes used in Internet search engines (1998) 0.04
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    Source
    Structures and relations in knowledge organization: Proceedings of the 5th International ISKO-Conference, Lille, 25.-29.8.1998. Ed.: W. Mustafa el Hadi et al
  16. Agosti, M.; Pretto, L.: ¬A theoretical study of a generalized version of kleinberg's HITS algorithm (2005) 0.04
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    Abstract
    Kleinberg's HITS (Hyperlink-Induced Topic Search) algorithm (Kleinberg 1999), which was originally developed in a Web context, tries to infer the authoritativeness of a Web page in relation to a specific query using the structure of a subgraph of the Web graph, which is obtained considering this specific query. Recent applications of this algorithm in contexts far removed from that of Web searching (Bacchin, Ferro and Melucci 2002, Ng et al. 2001) inspired us to study the algorithm in the abstract, independently of its particular applications, trying to mathematically illuminate its behaviour. In the present paper we detail this theoretical analysis. The original work starts from the definition of a revised and more general version of the algorithm, which includes the classic one as a particular case. We perform an analysis of the structure of two particular matrices, essential to studying the behaviour of the algorithm, and we prove the convergence of the algorithm in the most general case, finding the analytic expression of the vectors to which it converges. Then we study the symmetry of the algorithm and prove the equivalence between the existence of symmetry and the independence from the order of execution of some basic operations on initial vectors. Finally, we expound some interesting consequences of our theoretical results.
  17. Bilal, D.; Gwizdka, J.: Children's query types and reformulations in Google search (2018) 0.04
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    Abstract
    We investigated the searching behaviors of twenty-four children in grades 6, 7, and 8 (ages 11-13) in finding information on three types of search tasks in Google. Children conducted 72 search sessions and issued 150 queries. Children's phrase- and question-like queries combined were much more prevalent than keyword queries (70% vs. 30%, respectively). Fifty two percent of the queries were reformulations (33 sessions). We classified children's query reformulation types into five classes based on the taxonomy by Liu et al. (2010). We found that most query reformulations were by Substitution and Specialization, and that children hardly repeated queries. We categorized children's queries by task facets and examined the way they expressed these facets in their query formulations and reformulations. Oldest children tended to target the general topic of search tasks in their queries most frequently, whereas younger children expressed one of the two facets more often. We assessed children's achieved task outcomes using the search task outcomes measure we developed. Children were mostly more successful on the fact-finding and fully self-generated task and partially successful on the research-oriented task. Query type, reformulation type, achieved task outcomes, and expressing task facets varied by task type and grade level. There was no significant effect of query length in words or of the number of queries issued on search task outcomes. The study findings have implications for human intervention, digital literacy, search task literacy, as well as for system intervention to support children's query formulation and reformulation during interaction with Google.
  18. Courtois, M.P.; Berry, M.W.: Results ranking in Web search engines (1999) 0.04
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    Abstract
    Comparaison des méthodes de classement de 5 moteurs de recherche (AltaVista, HotBot, Excie, Infoseek et Lycos). Sont testées la présence de tous les mots, la proximité et la localisation
  19. Fluhr, C.: Crosslingual access to photo databases (2012) 0.03
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    Date
    17. 4.2012 14:25:22
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  20. Chen, L.-C.: Next generation search engine for the result clustering technology (2012) 0.03
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    Date
    17. 4.2012 15:22:11
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a

Years

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