Search (279 results, page 14 of 14)

  • × theme_ss:"Suchmaschinen"
  1. Kohkemper, R.: Studenten-Charme im Big Business : 200 Millionen Anfragen pro Tag - die erfolgreichste Suchmaschine des Internet (2004) 0.00 
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    Date
    3. 5.1997 8:44:22
    13. 6.2004 14:34:22
  2. Beuth, P.: Wie Google, nur belesen : Suchmaschine, die sich selbst nicht kennt - Cuil vs. Google (2008) 0.00 
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    Date
    17. 7.1996 9:33:22
  3. Rehn, A.: Daten-Schnüffler : Software-Entwickler verbessern Suchmaschinen, um Ordnung ins Chaos zu bringen (2004) 0.00 
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    Date
    3. 5.1997 8:44:22
  4. Schlüter, C.: Kapitale Suchmaschine : Angesichts der Bedeutung von Google werden Warnungen vor einer Entdemokratisierung des Wissens laut (2006) 0.00 
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    Date
    12. 2.1996 22:34:46
  5. Plath, J.: Allianz gegen Google : Streit um die Verwertungsrechte von Büchern (2008) 0.00 
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    Date
    5. 1.1997 9:39:22
  6. Sülzer, T.: Bingen statt Googeln : Die neue Microsoft-Suchmaschine: Deutsche Version ist vorerst nur als "Beta" erreichbar (2009) 0.00 
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    Date
    3. 5.1997 8:44:22
  7. Langville, A.N.; Meyer, C.D.: Google's PageRank and beyond : the science of search engine rankings (2006) 0.00 
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    Content
    Chapter 9. Accelerating the Computation of PageRank: 9.1 An Adaptive Power Method - 9.2 Extrapolation - 9.3 Aggregation - 9.4 Other Numerical Methods Chapter 10. Updating the PageRank Vector: 10.1 The Two Updating Problems and their History - 10.2 Restarting the Power Method - 10.3 Approximate Updating Using Approximate Aggregation - 10.4 Exact Aggregation - 10.5 Exact vs. Approximate Aggregation - 10.6 Updating with Iterative Aggregation - 10.7 Determining the Partition - 10.8 Conclusions Chapter 11. The HITS Method for Ranking Webpages: 11.1 The HITS Algorithm - 11.2 HITS Implementation - 11.3 HITS Convergence - 11.4 HITS Example - 11.5 Strengths and Weaknesses of HITS - 11.6 HITS's Relationship to Bibliometrics - 11.7 Query-Independent HITS - 11.8 Accelerating HITS - 11.9 HITS Sensitivity Chapter 12. Other Link Methods for Ranking Webpages: 12.1 SALSA - 12.2 Hybrid Ranking Methods - 12.3 Rankings based on Traffic Flow Chapter 13. The Future of Web Information Retrieval: 13.1 Spam - 13.2 Personalization - 13.3 Clustering - 13.4 Intelligent Agents - 13.5 Trends and Time-Sensitive Search - 13.6 Privacy and Censorship - 13.7 Library Classification Schemes - 13.8 Data Fusion Chapter 14. Resources for Web Information Retrieval: 14.1 Resources for Getting Started - 14.2 Resources for Serious Study Chapter 15. The Mathematics Guide: 15.1 Linear Algebra - 15.2 Perron-Frobenius Theory - 15.3 Markov Chains - 15.4 Perron Complementation - 15.5 Stochastic Complementation - 15.6 Censoring - 15.7 Aggregation - 15.8 Disaggregation
  8. Dodge, M.: ¬A map of Yahoo! (2000) 0.00 
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    Content
    The View From Above Browsing for a particular piece on information on the Web can often feel like being stuck in an unfamiliar part of town walking around at street level looking for a particular store. You know the store is around there somewhere, but your viewpoint at ground level is constrained. What you really want is to get above the streets, hovering half a mile or so up in the air, to see the whole neighbourhood. This kind of birds-eye view function has been memorably described by David D. Clark, Senior Research Scientist at MIT's Laboratory for Computer Science and the Chairman of the Invisible Worlds Protocol Advisory Board, as the missing "up button" on the browser [3] . ET-Map is a nice example of a prototype for Clark's "up-button" view of an information space. The goal of information maps, like ET-Map, is to provide the browser with a sense of the lie of the information landscape, what is where, the location of clusters and hotspots, what is related to what. Ideally, this 'big-picture' all-in-one visual summary needs to fit on a single standard computer screen. ET-Map is one of my favourite examples, but there are many other interesting information maps being developed by other researchers and companies (see inset at the bottom of this page). How does ET-Map work? Here is a sequence of screenshots of a typical browsing session with ET-Map, which ends with access to Web pages on jazz musician Miles Davis. You can also tryout ET-Map for yourself, using a fully working demo on the AI Lab's website [4] . We begin with the top-level map showing forty odd broad entertainment 'subject regions' represented by regularly shaped tiles. Each tile is a visual summary of a group of Web pages with similar content. These tiles are shaded different colours to differentiate them, while labels identify the subject of the tile and the number in brackets telling you how many individual Web page links it contains. ET-Map uses two important, but common-sense, spatial concepts in its organisation and representation of the Web. Firstly, the 'subject regions' size is directly related to the number of Web pages in that category. For example, the 'MUSIC' subject area contains over 11,000 pages and so has a much larger area than the neighbouring area of 'LIVE' which only has 4,300 odd pages. This is intuitively meaningful, as the largest tiles are visually more prominent on the map and are likely to be more significant as they contain the most links. In addition, a second spatial concept, that of neighbourhood proximity, is applied so 'subject regions' closely related in term of content are plotted close to each other on the map. For example, 'FILM' and 'YEAR'S OSCARS', at the bottom left, are neighbours in both semantic and spatial space. This make senses as many things in the real-world are ordered in this way, with things that are alike being spatially close together (e.g. layout of goods in a store, or books in a library). Importantly, ET-Map is also a multi-layer map, with sub-maps showing greater informational resolution through a finer degree of categorization. So for any subject region that contains more than two hundred Web pages, a second-level map, with more detailed categories is generated. This subdivision of information space is repeated down the hierarchy as far as necessary. In the example, the user selected the 'MUSIC' subject region which, not surprisingly, contained many thousands of pages. A second-level map with numerous different music categories is then presented to the user. Delving deeper, the user wants to learn more about jazz music, so clicking on the 'JAZZ' tile leads to a third-level map, a fine-grained map of jazz related Web pages. Finally, selecting the 'MILES DAVIS' subject region leads to more a conventional looking ranking of pages from which the user selects one to download.
    Research Prototypes Visual SiteMap Developed by Xia Lin, based at the College of Library and Information Science, Drexel University. CVG Cyberspace geography visualization, developed by Luc Girardin, at The Graduate Institute of International Studies, Switzerland. WEBSOM Maps the thousands of articles posted on Usenet newsgroups. It is being developed by researchers at the Neural Networks Research Centre, Helsinki University of Technology in Finland. TreeMaps Developed by Brian Johnson, Ben Shneiderman and colleagues in the Human-Computer Interaction Lab at the University of Maryland. Commercial Information Maps: NewsMaps Provides interactive information landscapes summarizing daily news stories, developed Cartia, Inc. Web Squirrel Creates maps known as information farms. It is developed by Eastgate Systems, Inc. Umap Produces interactive maps of Web searches. Map of the Market An interactive map of the market performance of the stocks of major US corporations developed by SmartMoney.com."
  9. Sixtus, M.: Verirrter Wegweiser : Die Suchmaschine Google findet nicht immer die korrekte Richtung - wie ein ungewöhnlicher Wettbewerb zeigt (2004) 0.00 
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    Date
    22. 7.2004 9:40:10
  10. Luetzow, G.: Jeder googelt jeden : Analyse (2004) 0.00 
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    Date
    17. 7.1996 9:33:22
  11. Metzger, C.: Gratis-Bildmaterial aus dem Web (2005) 0.00 
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    Date
    22. 5.2005 10:06:58
  12. Müller-Wolf, K.: (Alb-)Traum der virtuellen Bücherwelt : Internet-Unternehmen Google möchte weltumspannende digitale Bibliothek schaffen (2005) 0.00 
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    Date
    3. 5.1997 8:44:22
  13. Puschwadt, O.: Auf Platz eins gegoogelt : Erfolgsgeschichte - Von der Garagenfirma zum Marktführer (2005) 0.00 
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    Date
    3. 5.1997 8:44:22
  14. Gernert, J.: ¬Das Superhirn : Jerry Young brachte mit Yahoo Ordnung ins Netz, jetzt wird er von Microsoft umworben (2008) 0.00 
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    Date
    5. 1.1997 9:39:22
  15. Beuth, P.: ¬Die Jagd nach Nutzer-Profilen (2009) 0.00 
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    Date
    17. 7.1996 9:33:22
  16. Averesch, D.: Googeln ohne Google : Mit alternativen Suchmaschinen gelingt ein neutraler Überblick (2010) 0.00 
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    Date
    3. 5.1997 8:44:22
  17. Behrens, D.: Test: Datei-Newsserver (2004) 0.00 
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    Content
    - Finden, was Sie suchen - Normalerweise können Sie im Usenet nur jede Newsgroup einzeln durchsuchen. Lediglich zwei Dienste im Test bieten eine globale Suchfunktion über alle Newsgroups hinweg: Easynews.com und Newshosting. Sie ist in der jeweiligen Web-Oberfläche integriert. Ein Klick auf einen Eintrag in der Ergebnisliste startet den Download. Komfortabler geht's kaum. Eine Hand voll kostenloser Anbieter indizieren Datei-Newsgroups und bieten ein Suchformular, etwa www.bincrawiercom, www. newzsearch.com und http://altbinaries.ni. Um eine gefundene Datei herunterzuladen, Müssen Sie im Anschluss Ihren Newsreader starten und in die angegebene Newsgroup wechseln. Bincrawler.com wurde im Oktober von einem anderen Anbieter aufgekauft. Ob er den kostenlosen Dienst weiterführen wird, ist ungewiss. - So vermeiden Sie illegale Inhalte - In Foren, in die jeder Anwender nach Belieben Dateien hineinstellen kann, landet auch viel Schmutz. In manchen Newsgroups finden sich etwa Software-Raubkopien und strafrechtlich relevante Bilder. Um nicht damit konfrontiert zu werden, sollten Sie Newsgroups mit eindeutig klingenden Namen meiden. Außerdem sind die angebotenen Dateien häufig mit Viren verseucht. Auch in Newsgroups mit harmloser Bezeichnung stoßen Sie möglicherweise auf urheberrechtlich geschütztes Material. Laden Sie deshalb nur Dateien herunter, von denen Sie sicher sind, dass sie legal angeboten werden. Vor allem urheberrechtlich geschützte MP3-Dateien sollten Sie meiden, da Sie sonst mit ernsten Konsequenzen rechnen müssen (> Beitrag auf Seite 22)."
  18. Hosbach, W.: Gates gegen Google : Neue Suchmaschine von MSN (2005) 0.00 
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    Date
    22. 1.2005 17:11:04
  19. Jörn, F.: Wie Google für uns nach der ominösen Gluonenkraft stöbert : Software-Krabbler machen sich vor der Anfrage auf die Suche - Das Netz ist etwa fünfhundertmal größer als alles Durchforschte (2001) 0.00 
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    Date
    22. 6.2005 9:52:00

Authors

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  • a 237
  • el 32
  • m 19
  • x 3
  • p 2
  • s 2
  • r 1
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