Search (139 results, page 1 of 7)

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  1. 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/.
  2. Peters, I.: Folksonomies und kollaborative Informationsdienste : eine Alternative zur Websuche? (2011) 0.04
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    Abstract
    Folksonomies ermöglichen den Nutzern in Kollaborativen Informationsdiensten den Zugang zu verschiedenartigen Informationsressourcen. In welchen Fällen beide Bestandteile des Web 2.0 am besten für das Information Retrieval geeignet sind und wo sie die Websuche ggf. ersetzen können, wird in diesem Beitrag diskutiert. Dazu erfolgt eine detaillierte Betrachtung der Reichweite von Social-Bookmarking-Systemen und Sharing-Systemen sowie der Retrievaleffektivität von Folksonomies innerhalb von Kollaborativen Informationsdiensten.
  3. Blake, P.: Searching out and assessing Web sites (1996) 0.03
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    Abstract
    Describes 4 search engines for the Internet: infoMarket Search; Yahoo and OpenText; Lycos Spider; and WebCompass. InfoMarket Search retrieves data from Web pages and information providers such as Disclosure, Information Access Company and Cambridge Scientific Abstracts. It is able to search millions of Web pages in under five seconds. Automated 'crawlers' index the complete text of Web documents. Yahoo enables users to search for specific words and phrases and conduct multilevel Boolean and weighted searches. Lycos spider offers support for HotJava and indexes 91% of the Web. WebCompass polls multiple search engines such as Lycos and InfoSeek for relevant Web pages. A personalized index of topics may be built and retrieved data stored in a format based on Microsoft Access 2.0
  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. 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
  7. 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
  8. 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
  9. ap: Suchmaschinen in neuem Gewand : Metaspinner kennt 600 Millionen Seiten (1999) 0.02
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    Date
    3. 5.1997 8:44:22
  10. Dunning, A.: Do we still need search engines? (1999) 0.02
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    Source
    Ariadne. 1999, no.22
  11. Bawden, D.: Google and the universe of knowledge (2008) 0.02
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    Date
    7. 6.2008 16:22:20
  12. Sleem-Amer, M.; Bigorgne, I.; Brizard, S.; Santos, L.D.P.D.; Bouhairi, Y. El; Goujon, B.; Lorin, S.; Martineau, C.; Rigouste, L.; Varga, L.: Intelligent semantic search engines for opinion and sentiment mining (2012) 0.02
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    Abstract
    Over the last years, research and industry players have become increasingly interested in analyzing opinions and sentiments expressed on the social media web for product marketing and business intelligence. In order to adapt to this need search engines not only have to be able to retrieve lists of documents but to directly access, analyze, and interpret topics and opinions. This article covers an intermediate phase of the ongoing industrial research project 'DoXa' aiming at developing a semantic opinion and sentiment mining search engine for the French language. The DoXa search engine enables topic related opinion and sentiment extraction beyond positive and negative polarity using rich linguistic resources. Centering the work on two distinct business use cases, the authors analyze both unstructured Web 2.0 contents (e.g., blogs and forums) and structured questionnaire data sets. The focus is on discovering hidden patterns in the data. To this end, the authors present work in progress on opinion topic relation extraction and visual analytics, linguistic resource construction as well as the combination of OLAP technology with semantic search.
  13. Auf der Suche nach Suchmaschinen (1996) 0.02
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    Source
    Cogito. 12(1996) H.5, S.19-22
  14. Bager, J.: Weniger ist mehr : Internet-Suchmaschinen richtig einsetzen (1998) 0.02
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    Date
    29.12.1998 11:22:00
  15. Lob, S.: Per Mausklick auf die neusten Nachrichten : Internet-Suchmaschinen liefern Presse-Überblicke und stellen persönliche Zeitungen zusammen (1998) 0.02
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    Date
    29.12.1998 11:22:25
  16. 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) 0.02
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    Date
    3. 5.1997 8:44:22
  17. Hentschel, A.; Schmidt, M.: Google: erste Krise (2008) 0.02
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    Abstract
    Die Nummer eins der Suchmaschinen strauchelt. Die Erfolgsstory von Web 2.0 und Social Networks bereitet Google Probleme. Der Gigant sieht seine Nutzer nicht mehr
    Content
    "Am 7. September feiert die Google-Seite ihren zehnten Geburtstag. Die Bilanz dieser Dekade ist durchaus überwältigend. Gerade bescheinigte das Marktforschungs-Unternehmen comScore Google einen Anteil von 61,6 Prozent am weltweiten Suchmaschinen-Markt. Der Gigant aus Mountain View machte letztes Jahr 16,5 Milliarden US-Dollar Umsatz und erwirtschaftete 4,2 Milliarden US-Dollar Gewinn - gegenüber 2006 ein Plus von bemerkenswerten 30 Prozent. Viele Gründe zum Feiern. Eigentlich. Doch die Stimmung beim weltgrößten Suchmaschinen-Betreiber ist getrübt. Die gleichen Marktforscher sagen Google nämlich ein Ende der glorreichen Zeiten voraus. Die Gründe: Die User verstecken sich vor Google, klicken seltener auf Werbebanner und achten stärker denn je auf ihre Privatsphäre im Internet. In den USA schrumpfte das Anzeigengeschäft allein von Dezember 2007 bis Januar 2008 um sieben Prozent. Der Aktienkurs der Suchmaschine brach ob dieser Zurückhaltung ein, seit letztem November verlor Google 40 Prozent seines Börsenwertes - immerhin 80 Milliarden US-Dollar. Das rückläufige Geschäft verdeutlicht ein gravierendes Problem. Es wird für Google immer schwerer, Werbung dort einzublenden, wo die Webnutzer sind. Die Platzierung funktioniert vereinfacht so: Um seinen Webseitenindex aktuell zu halten, schickt Google Crawler durch das Web. Sie erfassen für das Indizierungs-Programm Google-bot die Inhalte der Webseiten - anhand häufig auftauchender Begriffe sowie von Content- und Title-Tags. So weiß Google, auf welchen Seiten welche Inhalte stehen und kann passende Werbung schalten. In Zeiten dröger HTML-Seiten war das mehr als ausreichend. Doch das Web hat sich schneller geändert als Google seinen Googlebot. Der nämlich kann nicht alle Seitenformate erfassen. Die Inhalte von Flash-Dateien und dynamischen Webseiten etwa bleiben außen vor, zielgenaue Werbung lässt sich hier nicht schalten. Dummerweise boomen ausgerechnet diese Formate im populären "Web 2.0". Eigentlich ein rein technisches Problem, für das die Suchmaschine noch keine Lösung hat.
  18. Hock, R.E.: How to do field searching in Web search engines : a field trip (1998) 0.02
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    Source
    Online. 22(1998) no.3, S.18-22
  19. Lanvent, A.: Licht im Daten Chaos (2004) 0.02
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    Object
    Findword 2.0
  20. Loeper, D. von: Sherlock Holmes im Netz (1997) 0.02
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    Date
    22. 2.1997 19:50:29

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