Search (160 results, page 1 of 8)

  • × theme_ss:"Suchmaschinen"
  1. Gourbin, G.: ¬Une nouvelle profession : cyber-documentaliste l'exemple de Nomade (1998) 0.07 
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    Abstract
    Users who want to exploit all the information sources on the Web will need an efficient search and selection tool e.g. a directory or search engine. Directories list Web sites and analyze their contents. Describes the behind-the-scenes work of documentalists specialized in surfing, tracking and indexing French language sites for the directory Nomade. Describes the creation of Nomade, its functioning and indexing, and how this new profession of 'cyber-documentalist' is changing the practices and functions of information professionals as they become Internet information organizers
    Date
    1. 8.1996 22:01:00
  2. 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/.
  3. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.03 
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    Date
    7. 2.1996 22:38:41
    Pages
    22 S
  4. Höfer, W.: Detektive im Web (1999) 0.03 
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    Date
    22. 8.1999 20:22:06
  5. Rensman, J.: Blick ins Getriebe (1999) 0.03 
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    Date
    22. 8.1999 21:22:59
  6. Stock, M.; Stock, W.G.: Recherchieren im Internet (2004) 0.02 
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    Date
    27.11.2005 18:04:22
  7. Duchemin, P.-Y.: ¬La recherche d'informations sur l'internet : repertoires et moteurs de recherche (1997) 0.02 
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    Abstract
    The Internet links computer networks worldwide through the TCP/IP; in addition to electronic mail; bulleton board and news group services, files can be downloaded using the standard protocol FTP. Services have evolved to identify and facilitate access to Internet resources, e.g. Telnet, Gopher, WAIS, etc. The WWW is the most developed, using hypertext links. Search engines such as AltaVista explore Web content and create catalogues of Web pages. Gives details of the most commonly used subject guides, research tools and search engines, including URL and applications
  8. 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
  9. 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
  10. 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
  11. ap: Suchmaschinen in neuem Gewand : Metaspinner kennt 600 Millionen Seiten (1999) 0.02 
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    Date
    3. 5.1997 8:44:22
  12. Dunning, A.: Do we still need search engines? (1999) 0.02 
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    Source
    Ariadne. 1999, no.22
  13. Bawden, D.: Google and the universe of knowledge (2008) 0.02 
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    Date
    7. 6.2008 16:22:20
  14. 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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    Abstract
    It is widely believed that many queries submitted to search engines are inherently ambiguous (e.g., java and apple). However, few studies have tried to classify queries based on ambiguity and to answer "what the proportion of ambiguous queries is". This paper deals with these issues. First, we clarify the definition of ambiguous queries by constructing the taxonomy of queries from being ambiguous to specific. Second, we ask human annotators to manually classify queries. From manually labeled results, we observe that query ambiguity is to some extent predictable. Third, we propose a supervised learning approach to automatically identify ambiguous queries. Experimental results show that we can correctly identify 87% of labeled queries with the approach. Finally, by using our approach, we estimate that about 16% of queries in a real search log are ambiguous.
  15. Schomburg, S.; Prante, J.: Search Engine Federation in Libraries - Suchmaschinenföderation in Bibliotheken (2009) 0.02 
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    Abstract
    The hbz (Academic Library Center, Cologne) has a strong focus on search engine applications: Beyond the projected integration of respective technologies into the new release of the Digital Library portal solution (DigiBib6), vascoda background services also apply and take advantage of search engine technology. Experience since 2003 has given proof that building and updating of search engine indexes involves a vast amount of resources. The use of search engine federations, however, pledges major improvements: The total amount of data records held in linked indexes can be almost unlimited but also allow for a joint output of all hits retrieved. A federation also comes with excellent response times - hits retrieved can also refer to or link into the original system's layout. Nonetheless, the major challenge these days is different search engine technologies, e.g. Lucene and FAST, the variations in terms of ranking, and the implementation or non-implementation of so-called drill-downs. The lecture is designed to give a brief insight into the hbz search engine workshop with an introduction to the special project state of play.
  16. Thelwall, M.: Assessing web search engines : a webometric approach (2011) 0.02 
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    Abstract
    Information Retrieval (IR) research typically evaluates search systems in terms of the standard precision, recall and F-measures to weight the relative importance of precision and recall (e.g. van Rijsbergen, 1979). All of these assess the extent to which the system returns good matches for a query. In contrast, webometric measures are designed specifically for web search engines and are designed to monitor changes in results over time and various aspects of the internal logic of the way in which search engine select the results to be returned. This chapter introduces a range of webometric measurements and illustrates them with case studies of Google, Bing and Yahoo! This is a very fertile area for simple and complex new investigations into search engine results.
  17. Kucukyilmaz, T.; Cambazoglu, B.B.; Aykanat, C.; Baeza-Yates, R.: ¬A machine learning approach for result caching in web search engines (2017) 0.02 
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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.
  18. Auf der Suche nach Suchmaschinen (1996) 0.02 
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    Source
    Cogito. 12(1996) H.5, S.19-22
  19. Birmingham, J.: Internet search engines (1996) 0.02 
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    Date
    10.11.1996 16:36:22
  20. Bager, J.: Weniger ist mehr : Internet-Suchmaschinen richtig einsetzen (1998) 0.02 
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    Date
    29.12.1998 11:22:00

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