Search (1046 results, page 1 of 53)

  • × theme_ss:"Suchmaschinen"
  1. Kucukyilmaz, T.; Cambazoglu, B.B.; Aykanat, C.; Baeza-Yates, R.: ¬A machine learning approach for result caching in web search engines (2017) 0.09 
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    Abstract
    A commonly used technique for improving search engine performance is result caching. In result caching, precomputed results (e.g., URLs and snippets of best matching pages) of certain queries are stored in a fast-access storage. The future occurrences of a query whose results are already stored in the cache can be directly served by the result cache, eliminating the need to process the query using costly computing resources. Although other performance metrics are possible, the main performance metric for evaluating the success of a result cache is hit rate. In this work, we present a machine learning approach to improve the hit rate of a result cache by facilitating a large number of features extracted from search engine query logs. We then apply the proposed machine learning approach to static, dynamic, and static-dynamic caching. Compared to the previous methods in the literature, the proposed approach improves the hit rate of the result cache up to 0.66%, which corresponds to 9.60% of the potential room for improvement.
    Type
    a
  2. Höfer, W.: Detektive im Web (1999) 0.05 
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    Date
    22. 8.1999 20:22:06
    Type
    a
  3. Rensman, J.: Blick ins Getriebe (1999) 0.05 
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    Date
    22. 8.1999 21:22:59
    Type
    a
  4. 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
  5. Dunning, A.: Do we still need search engines? (1999) 0.04 
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    Source
    Ariadne. 1999, no.22
    Type
    a
  6. Vidmar, D.J.: Darwin on the Web : the evolution of search tools (1999) 0.04 
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    Source
    Computers in libraries. 19(1999) no.5, S.22-28
    Type
    a
  7. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.04 
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    Date
    25. 8.2005 17:42:22
    Type
    a
  8. ap: Suchmaschinen in neuem Gewand : Metaspinner kennt 600 Millionen Seiten (1999) 0.04 
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    Date
    3. 5.1997 8:44:22
    Type
    a
  9. Bawden, D.: Google and the universe of knowledge (2008) 0.04 
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    Date
    7. 6.2008 16:22:20
    Type
    a
  10. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.04 
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    Abstract
    In this paper, we present two ways to improve the precision of HITS-based algorithms onWeb documents. First, by analyzing the limitations of current HITS-based algorithms, we propose a new weighted HITS-based method that assigns appropriate weights to in-links of root documents. Then, we combine content analysis with HITS-based algorithms and study the effects of four representative relevance scoring methods, VSM, Okapi, TLS, and CDR, using a set of broad topic queries. Our experimental results show that our weighted HITS-based method performs significantly better than Bharat's improved HITS algorithm. When we combine our weighted HITS-based method or Bharat's HITS algorithm with any of the four relevance scoring methods, the combined methods are only marginally better than our weighted HITS-based method. Between the four relevance scoring methods, there is no significant quality difference when they are combined with a HITS-based algorithm.
    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/.
    Type
    a
  11. Auf der Suche nach Suchmaschinen (1996) 0.04 
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    Source
    Cogito. 12(1996) H.5, S.19-22
    Type
    a
  12. Birmingham, J.: Internet search engines (1996) 0.04 
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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
  13. Bager, J.: Weniger ist mehr : Internet-Suchmaschinen richtig einsetzen (1998) 0.04 
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    Date
    29.12.1998 11:22:00
    Type
    a
  14. Lob, S.: Per Mausklick auf die neusten Nachrichten : Internet-Suchmaschinen liefern Presse-Überblicke und stellen persönliche Zeitungen zusammen (1998) 0.04 
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  15. 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) 0.04 
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  16. Hock, R.E.: How to do field searching in Web search engines : a field trip (1998) 0.04 
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    Abstract
    Explains how 5 Internet search engines (AltaVista, HotBot, InfoSeek, Lycos, and Yahoo) handle field searching. Includes a chart which identifies where on a search engine's page a particular field is searched and the prefix syntax used, and gives examples. Details the individual fields that can be searched: data, title, URL, images, audiovideo and other page content, links and page depth
    Source
    Online. 22(1998) no.3, S.18-22
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  17. Price, A.: Five new Danish subject gateways under development (2000) 0.03 
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  18. Eggeling, T.; Kroschel, A.: Alles finden im Web (2000) 0.03 
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  19. Loeper, D. von: Sherlock Holmes im Netz (1997) 0.03 
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  20. Hüskes, R.; Kleber, D.: ¬Den Server im Griff (1999) 0.03 
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