Search (152 results, page 1 of 8)

  • × theme_ss:"Suchmaschinen"
  1. Sieverts, E.: Slimmerds onder de zoekmachines (1998) 0.10 
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    Date
    29.12.1998 11:22:34
    Footnote
    Übers. d. Titels: Top of the class among the search engines
  2. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.04 
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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. Moody, G.: Searching the Web for gigabucks (1996) 0.04 
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    Abstract
    Following the success of Netscape, the software used to search the WWW, predicts that the next generation of web search engines will emerge from the ranks of a new class of Internet company. Discusses the challenges facing search engines in indexing the vast quantities of data available and growing on the WWW and the use of spiders, crawlers and worms. Notes that, while AltaVista can index 2,5 million web pages a day, a revised Inktomi search engine will be able to index 10 million pages per day
  4. Van der Walt, M.: ¬The structure of classification schemes used in Internet search engines (1998) 0.03 
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    Abstract
    The purpose of this paper is to determine some of the structural features of the classification schemes used in the directories (guides, channels) of search engines to organise information sources on the Internet. Ten search engines were examined at the main class level and the full hierarchies of a sample of three specific subjects were analysed in four of these engines, namely Excite, Infoseek, Lycos and Yahoo! It was found that there are major differences between the main classes of the search engines and those found in standard library schemes like Dewey, UDC and LCC. There are large gaps in subject coverage at main class level in the search engines and the general tendency is to use a topic-based approach in the formation of classes, rather than a discipline-based approach. The subdivision of the main classes is according to hierarchical tree structures, but a number of anomalies in this regard were identified. Another deviation from library classification theory is that various principles of division are employed to form classes at the same hierarchical level. In an analysis of citation orders many examples were found that conform to the principles followed in library classifications, but a number of inconsistencies in this regard were also noted
  5. Chau, M.; Wong, C.H.; Zhou, Y.; Qin, J.; Chen, H.: Evaluating the use of search engine development tools in IT education (2010) 0.03 
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    Abstract
    It is important for education in computer science and information systems to keep up to date with the latest development in technology. With the rapid development of the Internet and the Web, many schools have included Internet-related technologies, such as Web search engines and e-commerce, as part of their curricula. Previous research has shown that it is effective to use search engine development tools to facilitate students' learning. However, the effectiveness of these tools in the classroom has not been evaluated. In this article, we review the design of three search engine development tools, SpidersRUs, Greenstone, and Alkaline, followed by an evaluation study that compared the three tools in the classroom. In the study, 33 students were divided into 13 groups and each group used the three tools to develop three independent search engines in a class project. Our evaluation results showed that SpidersRUs performed better than the two other tools in overall satisfaction and the level of knowledge gained in their learning experience when using the tools for a class project on Internet applications development.
  6. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.03 
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    Date
    7. 2.1996 22:38:41
    Pages
    22 S
  7. Höfer, W.: Detektive im Web (1999) 0.03 
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    Date
    22. 8.1999 20:22:06
  8. Rensman, J.: Blick ins Getriebe (1999) 0.03 
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    Date
    22. 8.1999 21:22:59
  9. Stock, M.; Stock, W.G.: Recherchieren im Internet (2004) 0.03 
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    Date
    27.11.2005 18:04:22
  10. Warnick, W.L.; Leberman, A.; Scott, R.L.; Spence, K.J.; Johnsom, L.A.; Allen, V.S.: Searching the deep Web : directed query engine applications at the Department of Energy (2001) 0.03 
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    Abstract
    Directed Query Engines, an emerging class of search engine specifically designed to access distributed resources on the deep web, offer the opportunity to create inexpensive digital libraries. Already, one such engine, Distributed Explorer, has been used to select and assemble high quality information resources and incorporate them into publicly available systems for the physical sciences. By nesting Directed Query Engines so that one query launches several other engines in a cascading fashion, enormous virtual collections may soon be assembled to form a comprehensive information infrastructure for the physical sciences. Once a Directed Query Engine has been configured for a set of information resources, distributed alerts tools can provide patrons with personalized, profile-based notices of recent additions to any of the selected resources. Due to the potentially enormous size and scope of Directed Query Engine applications, consideration must be given to issues surrounding the representation of large quantities of information from multiple, heterogeneous sources.
  11. 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
  12. 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
  13. 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
  14. ap: Suchmaschinen in neuem Gewand : Metaspinner kennt 600 Millionen Seiten (1999) 0.02 
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    Date
    3. 5.1997 8:44:22
  15. Dunning, A.: Do we still need search engines? (1999) 0.02 
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    Source
    Ariadne. 1999, no.22
  16. Bawden, D.: Google and the universe of knowledge (2008) 0.02 
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    Date
    7. 6.2008 16:22:20
  17. Large, A.; Beheshti, J.; Moukdad, H.: Information seeking on the Web : navigational skills of grade-six primary school students (1999) 0.02 
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    Abstract
    Reports on research into the information-seeking habits of primary schoolchildren conducted under operational conditions. Three workstations with Internet access were installed in a grade-six classroom in suburban Montreal. After a short introductory training session for the entire group followed by short individual sessions for each student, 53 students, working in small groups, used these workstations over a six-week period to seek information on the Web of relevance to a class project assigned by their teacher. The project dealt with the Winter Olympic Games (recently completed at that time). The student objective was to locate relevant information for a poster and an oral presentation on one of the sports represented at the Games. All screen activity was directly captured on videotape and group conversations at the workstation were audiotaped. Demographic and computer literacy information was gathered in a questionnaire. This paper presents a map of the information-seeking landscape based upon an analysis of the descriptive statistics gathered from the Web searches. It reveals that the novice users favored browsing over analytic search strategies, although they did show some sophistication in the construction of the latter. Online help was ignored. The children demonstrated a very high level of interactivity with the interface at the expense of thinking, planning and evaluating. This is a preliminary analysis of data which will subsequently be expanded by the inclusion of qualitative data
  18. Sarigil, E.; Sengor Altingovde, I.; Blanco, R.; Barla Cambazoglu, B.; Ozcan, R.; Ulusoy, Ö.: Characterizing, predicting, and handling web search queries that match very few or no results (2018) 0.02 
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    Abstract
    A non-negligible fraction of user queries end up with very few or even no matching results in leading commercial web search engines. In this work, we provide a detailed characterization of such queries and show that search engines try to improve such queries by showing the results of related queries. Through a user study, we show that these query suggestions are usually perceived as relevant. Also, through a query log analysis, we show that the users are dissatisfied after submitting a query that match no results at least 88.5% of the time. As a first step towards solving these no-answer queries, we devised a large number of features that can be used to identify such queries and built machine-learning models. These models can be useful for scenarios such as the mobile- or meta-search, where identifying a query that will retrieve no results at the client device (i.e., even before submitting it to the search engine) may yield gains in terms of the bandwidth usage, power consumption, and/or monetary costs. Experiments over query logs indicate that, despite the heavy skew in class sizes, our models achieve good prediction quality, with accuracy (in terms of area under the curve) up to 0.95.
  19. Auf der Suche nach Suchmaschinen (1996) 0.02 
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    Source
    Cogito. 12(1996) H.5, S.19-22
  20. Birmingham, J.: Internet search engines (1996) 0.02 
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    Date
    10.11.1996 16:36:22

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