Search (451 results, page 1 of 23)

  • × theme_ss:"Suchmaschinen"
  1. Plath, J.: Allianz gegen Google : Streit um die Verwertungsrechte von Büchern (2008) 0.07
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    Content
    Empört zogen US-Autoren und -Verlage vor Gericht und handelten im Herbst einen Vergleich aus, den das Gericht noch genehmigen muss. Er sieht vor, dass Google die Verfahrenskosten trägt, jedem Autor eines ungenehmigt digitalisierten Buches 60 US-Dollar zahlt (insgesamt 45 Millionen US-Dollar) sowie 34,5 Millionen US-Dollar für die Gründung eines digitalen, von Google unabhängigen Buchregisters bereitstellt. Das Register soll die Einnahmen verteilen (37 Prozent an Google, 63 Prozent an die Rechteinhaber), die Google erwirtschaftet aus dem kostenpflichtigen Zugang zu Büchern oder ihrem Download (als Ebook oder Book on Demand), aus der Werbung sowie aus Online-Abonnements für Institutionen und Bibliotheken. Und natürlich dürfen die Scan-Maschinen weiter laufen. Die Konsequenzen des Vergleichs lassen tief durchatmen. Google erhält, warnt Robert Darnton in "The New York Review of Books", praktisch ein Digitalisierungsmonopol für die USA. Mehr noch: Die millionenfache Verletzung des Urheberrechts wird pragmatisch durchgewunken. Die Verlage erfreut nämlich, dass Google ein neues Geschäftsfeld erschlossen hat: all die vergriffenen Bücher, deren Nachdruck sie für nicht lohnend halten. Die Suchmaschinenfirma geht ihrerseits vom Prinzip der Finanzierung durch Werbung ab: Google wird auf einen Schlag weltgrößter Verleger und weltgrößter Buchhändler. Die Buchsuche wandelt sich zum Online-Buch(inhalte)verkauf.
    Date
    5. 1.1997 9:39:22
  2. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.07
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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/.
    Source
    WWW '02: Proceedings of the 11th International Conference on World Wide Web, May 7-11, 2002, Honolulu, Hawaii, USA
  3. Vidmar, D.J.: Darwin on the Web : the evolution of search tools (1999) 0.06
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    Source
    Computers in libraries. 19(1999) no.5, S.22-28
  4. Newman, N.: Search strategies and activities of BBC news interactive (2007) 0.06
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    Abstract
    In the United Kingdom, the BBC is principally known for television and until recently there was no difficulty in finding BBC content on your TV. There was only one channel and then two. It wasn't until the late 1950's in the UK that commercial TV provided an alternative, but even then we owned the transmitters, the distribution and crucially the BBC remained 1 and 2 on the dial. The explosion of multi-channel TV and now internet has meant falling market share inevitably and the arrival of digital television has meant hundred of channels, thousands in the case of the internet, and the need to invent new forms of navigation. Today, the BBC does not control those guides or the navigation systems that will inevitably drive people to the content of the future. Eastenders is a much loved BBC soap opera which gets about 8 million viewers a week, but some people no longer associate the programme with the BBC. Many people in the UK get their television via Rupert Murdoch's SKY platform and so the credit often goes to the aggregator. In Focus groups, we hear comments like »I watched Eastenders last night on SKY«. Today British consumers, who have only just got used to hundreds of television channels are now being bombarded by a second wave of content. There are podcasts, vodcasts, webcasts, user generated content - and on its way even more on demand video content as the world's major media companies open un 7 day output and their archives directly to consumers.
  5. Siegenheim, V.; Kaumanns, R.: ¬Die Google-Ökonomie : Wie Google die Wirtschaft verändert (2007) 0.04
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    Imprint
    Norderstedt : Books on Demand
  6. Berinstein, P.: Turning visual : image search engines on the Web (1998) 0.04
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    Abstract
    Gives an overview of image search engines on the Web. They work by: looking for graphics files; looking for a caption; looking for Web sites whose titles indicate the presence of picturres on a certain subject; or employing human intervention. Describes the image search capabilities of: AltaVista; Amazing Picture Machine (Http://www.ncrtec.org/picture.htm); HotBot; ImageSurfer (http://ipix.yahoo.com); Lycos; Web Clip Art Search Engine and WebSEEK. The search engines employing human intervention provide the best results
    Source
    Online. 22(1998) no.3, S.37-38,40-42
  7. 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
  8. Duval, B.K.; Main, L.: Searching on the Net : general overview (1996) 0.04
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    Abstract
    First of a 3 part series discussing how to access and use Web search engines on the Internet. Distinguishes between FTP sites, Gopher sites, Usenet News sites and Web sites. Considers subject searching versus keyword; how to improve search strategies and success rates; bookmarks; Yahoo!, Lycos; InfoSeek; Magellan; Excite; Inktomi; HotBot and AltaVista
    Date
    6. 3.1997 16:22:15
  9. Lakshminarayana, S.: Quality search content : a reality with next generation browsers (2007) 0.04
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    Content
    "Sir, The Internet has become the means to obtain information or to transact business. Most of the research, including recent articles by Declan Butler (2006) and Kevin Yager (2006), note a demand for quality search content from the Web. User interactions with the Internet are performed through a Web browser. An average user usually browses through, at the most, thirty to forty links out of the total delivery set, which can be quite large, from a search engine. In the early 1990s, browsers were textual, with no graphical presentations available. Subsequently, browsers could display graphic content. Some browsers can view content in the style and font desired by the user, but with limited operability. However, these browsers do not inherit any intelligence from technological research to employ as an expert system for the user. In addition, search engines have been left on their own to grow with technology. On the other hand, using the same technology has complicated Web content. This may lead to the best search engines rarely doing poorly, and the worst ones rarely doing well, but any result is possible (Salganik, Dodds, & Watts, 2006). Active research is being done with search engines to address the abundance of technological development for quality delivery of content. Some search engines look at the country, language, browser technical details (e.g., version, compatibility), and other factors before delivery. However the missing factor is user characteristics.
    Search engines now need to concentrate on addressing personalized searches by collecting more information on user habits, archive search information, style of search, location, educational and other background information before delivery of content. To satisfy a particular user, search engines need to generate a database of user characteristics (e.g., country, level of understanding of search technology, previous searches, applications he/she may use after the search, utility of the information, and the information life cycle), so that it can improve the quality of the content. More categorization of these characteristics will help delivery of appropriately relevant content. At present, browsers do not discriminate among users based upon any of these characteristics to improve content delivery. These additional features, if present in the browser, would form a good interactive interface between the World Wide Web and the user in the near future. Therefore, browser development should take the direction of technical integration with user characteristics and the constant updating of such information by a learning process associated with the user. This could improve the relevance of the retrieved content, i.e., the result set. The more a user browses, the more a browser would learn about that user. The next generation of browsers should have the capacity for intelligence to address issues related to content filtering, address blocking, user friendliness, and various levels of understanding. These browsers should also possess data mining tools so that the search engines could better facilitate user requirements. In such contexts, the browser would act as a self-reviewed catalyst to accelerate the delivery of quality content."
  10. Marchiori, M.: ¬The quest for correct information on the Web : hyper search engines (1997) 0.03
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    Abstract
    Presents a novel method to extract from a web object its hyper informative content, in contrast with current search engines, which only deal with the textual information content. This method is not only valuable per se, but it is shown to be able to considerably increase the precision of current search engines. It integrates with existing search engine technology since it can be implemented on top of every search engine, acting as a post-processor, thus automatically transforming a search engine into its corresponding hyper version. Shows how the hyper information can be usefully employed to face the search engines persuasion problem
    Date
    1. 8.1996 22:08:06
  11. Hsieh-Yee, I.: ¬The retrieval power of selected search engines : how well do they address general reference questions and subject questions? (1998) 0.03
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    Abstract
    Evaluates the performance of 8 major Internet search engines in answering 21 real reference questions and 5 made up subject questions. Reports on the retrieval and relevancy ranking abilities of the search engines. Concludes that the search engines did not produce good results for the reference questions unlike for the subject questions. The best engines are identified by type of questions, with Infoseek best for the subject questions, and OpenText best for refrence questions
    Date
    25.12.1998 19:22:51
    Footnote
    Part of an issue devoted to electronic resources and their use in libraries, from the viewpoint of reference services, with an emphasis on the Internet and Geographic Information Systems
  12. Kurzke, C.; Galle, M.; Bathelt, M.: WebAssistant : a user profile specific information retrieval assistant (1998) 0.03
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    Abstract
    Describes the concept of a proxy based information classification and filtering utility, named Web Assistant. On the behalf of users a private view of the WWW is generated based on a previously determined profile. This profile is created by monitoring the user anf group activities when browsing WWW pages. Additional features are integrated to allow for easy interoperability workgroups with similar project interests, maintain personal and common hotlists with automatic modification checks and a sophisticated search engine front-end
    Date
    1. 8.1996 22:08:06
  13. Baeza-Yates, R.; Boldi, P.; Castillo, C.: Generalizing PageRank : damping functions for linkbased ranking algorithms (2006) 0.03
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    Abstract
    This paper introduces a family of link-based ranking algorithms that propagate page importance through links. In these algorithms there is a damping function that decreases with distance, so a direct link implies more endorsement than a link through a long path. PageRank is the most widely known ranking function of this family. The main objective of this paper is to determine whether this family of ranking techniques has some interest per se, and how different choices for the damping function impact on rank quality and on convergence speed. Even though our results suggest that PageRank can be approximated with other simpler forms of rankings that may be computed more efficiently, our focus is of more speculative nature, in that it aims at separating the kernel of PageRank, that is, link-based importance propagation, from the way propagation decays over paths. We focus on three damping functions, having linear, exponential, and hyperbolic decay on the lengths of the paths. The exponential decay corresponds to PageRank, and the other functions are new. Our presentation includes algorithms, analysis, comparisons and experiments that study their behavior under different parameters in real Web graph data. Among other results, we show how to calculate a linear approximation that induces a page ordering that is almost identical to PageRank's using a fixed small number of iterations; comparisons were performed using Kendall's tau on large domain datasets.
    Date
    16. 1.2016 10:22:28
    Source
    http://chato.cl/papers/baeza06_general_pagerank_damping_functions_link_ranking.pdf [Proceedings of the ACM Special Interest Group on Information Retrieval (SIGIR) Conference, SIGIR'06, August 6-10, 2006, Seattle, Washington, USA]
  14. Conhaim, W.W.: Search tools (1996) 0.03
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    Abstract
    Describes the 3 most popular searching tools for the WWW: InfoSeek, Yahoo and Lycos. Searching Internet directories can also be a useful search technique. Lists other searching engines. Points out a number of evaluations of these search engines published on the WWW. A number of search tools are available for specialized areas. Sites are available that enable parallel searching using several tools at once. Describes WWW pages with information about search engines
    Date
    1. 8.1996 22:39:31
  15. Fong, W.W.: Searching the World Wide Web (1996) 0.03
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    Abstract
    Reviews the availability on the WWW, of search engines designed to organize various web information sources. Discusses the differences and similarities of each search engine and their advantages and disadvantages. Search engines included in the study were: AltaVista, CUI W3 Catalog, InfoSeek, Lycos, Magellan, Yahoo
    Source
    Journal of library and information science. 22(1996) no.1, S.15-36
  16. Sieverts, E.: Slimmerds onder de zoekmachines (1998) 0.03
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    Abstract
    Web search engines generally use best match search techniques, rather than traditional Boolean operators. Precision in searching will depend on the numbers of selected terms appearing in a document and the inclusion of less-common words in the search string. Users are, therefore, recommended to enter as many words as possible. ExCite and WebCrawler lead users from a relevant document to other documents containing similar word patterns, while MusCat and EuroFerret suggest additional keywords for searching
    Date
    29.12.1998 11:22:34
  17. Amato, G.; Rabitti, F.; Savino, P.: Multimedia document search on the Web (1998) 0.03
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    Date
    1. 8.1996 22:08:06
  18. Peereboom, M.: DutchESS : Dutch Electronic Subject Service - a Dutch national collaborative effort (2000) 0.03
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    Abstract
    This article gives an overview of the design and organisation of DutchESS, a Dutch information subject gateway created as a national collaborative effort of the National Library and a number of academic libraries. The combined centralised and distributed model of DutchESS is discussed, as well as its selection policy, its metadata format, classification scheme and retrieval options. Also some options for future collaboration on an international level are explored
    Date
    22. 6.2002 19:39:23
  19. Dempsey, L.: ¬The subject gateway : experiences and issues based on the emergence of the Resource Discovery Network (2000) 0.03
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    Date
    22. 6.2002 19:36:13
  20. Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.03
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    Abstract
    This paper presents a test of the validity of using Google Scholar to evaluate the publications of researchers by comparing the premises on which its search engine, PageRank, is based, to those of Garfield's theory of citation indexing. It finds that the premises are identical and that PageRank and Garfield's theory of citation indexing validate each other.
    Date
    17.12.2013 11:02:22

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