Search (50 results, page 2 of 3)

  • × theme_ss:"Suchmaschinen"
  • × year_i:[2010 TO 2020}
  1. Behnert, C.: Kriterien und Einflussfaktoren bei der Relevanzbewertung von Surrogaten in akademischen Informationssystemen (2019) 0.01
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  2. Haynes, M.: Your Google algorithm cheat sheet : Panda, Penguin, and Hummingbird (2013) 0.01
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    Abstract
    If you're reading the Moz blog, then you probably have a decent understanding of Google and its algorithm changes. However, there is probably a good percentage of the Moz audience that is still confused about the effects that Panda, Penguin, and Hummingbird can have on your site. I did write a post last year about the main differences between Penguin and a Manual Unnautral Links Penalty, and if you haven't read that, it'll give you a good primer. The point of this article is to explain very simply what each of these algorithms are meant to do. It is hopefully a good reference that you can point your clients to if you want to explain an algorithm change and not overwhelm them with technical details about 301s, canonicals, crawl errors, and other confusing SEO terminologies.
  3. Franke-Maier, M.; Rüter, C.: Discover Sacherschließung! : Was machen suchmaschinenbasierte Systeme mit unseren inhaltlichen Metadaten? (2015) 0.01
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  4. Behnert, C.; Plassmeier, K.; Borst, T.; Lewandowski, D.: Evaluierung von Rankingverfahren für bibliothekarische Informationssysteme (2019) 0.01
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  5. Lewandowski, D.: ¬Die Macht der Suchmaschinen und ihr Einfluss auf unsere Entscheidungen (2014) 0.01
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    Date
    22. 9.2014 18:54:11
  6. Ke, W.: Decentralized search and the clustering paradox in large scale information networks (2012) 0.01
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    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  7. Das, A.; Jain, A.: Indexing the World Wide Web : the journey so far (2012) 0.01
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    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  8. Roux, M.: Metadata for search engines : what can be learned from e-Sciences? (2012) 0.01
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    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  9. Hoeber, O.: Human-centred Web search (2012) 0.01
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    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  10. Berri, J.; Benlamri, R.: Context-aware mobile search engine (2012) 0.01
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    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  11. Lewandowski, D.: ¬A framework for evaluating the retrieval effectiveness of search engines (2012) 0.01
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    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  12. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications (2012) 0.01
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    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  13. Handbuch Internet-Suchmaschinen 3 : Suchmaschinen zwischen Technik und Gesellschaft (2014) 0.01
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    Footnote
    Rez. in: IWP 65(2014) H.2, S.147-149 (C. Cazan)
  14. Makris, C.; Plegas, Y.; Stamou, S.: Web query disambiguation using PageRank (2012) 0.01
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  15. Kucukyilmaz, T.; Cambazoglu, B.B.; Aykanat, C.; Baeza-Yates, R.: ¬A machine learning approach for result caching in web search engines (2017) 0.01
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  16. 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) 0.01
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  17. dpa: Benutzer können künftig mit Google sprechen : Konzern stellt Neuerungen auf Entwicklerkonferenz vor (2013) 0.01
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    Content
    "Eigentlich müssten die Besucher der GoogleEntwicklerkonferenz I/O in diesem Jahr enttäuscht sein: Alle Spekulationen im Vorfeld der Konferenz über ein neues Android-Betriebssystem sowie über einen Tablet-Computer mit Super-Display erwiesen sich am Mittwoch (Ortszeit) als Luftnummer. Und die über drei Stunden dauernde Eröffnungsveranstaltung wurde auch nicht wie im vergangenen Jahr durch die Aktion mutiger Fallschirmspringer aufgelockert. Sie hatten damals ihren Flug von einem Luftschiff auf das Dach des Konferenzcenters live mit einem Prototypen der Cyberbrille Google Glass als Videostream auf eine riesige Leinwand übertragen. Als Flop wird die Google I/O 2013 aber nicht in die Technik-Geschichte eingehen, ganz im Gegenteil. Rückblickend könnte die Entwicklerkonferenz als der Zeitpunkt eingeschätzt werden, an dem Google die Internet-Suche neu erfunden hat. Für die meisten Internet-Anwender ist die Google-Suche synonym mit dem Eintippen eines Begriffs in einen einfach gestalteten Suchschlitz. Das wird sich ändern. Künftig werden Suchabfragen immer öfter - auch auf dem Desktop-Computer - in gesprochener Sprache erfolgen. Der Befehl "Okay Google" öffnet das virtuelle Ohr. Danach kann man der Suchmaschine wie einem Menschen mündlich eine Frage stellen: "Wie ist das Wetter in Berlin?". Google versteht dann auch die Abschlussfrage "Und in München?" richtig, obwohl in dem Kurzsatz das Wort "Wetter" gar nicht mehr auftaucht. Google-Manager Amit Singhal sieht damit "das Ende der Suche - wie wir sie kennen" in naher Zukunft kommen. Das liegt zum einen an dem Wissensschatz, der sich inzwischen in den Google-Servern angehäuft hat und über Technologien wie den "Google Knowledge Graph" effizient abgerufen werden kann. Dazu kommt aber auch eine "soziale" Komponente, da der US-Konzern fast alles über die Vorlieben seinen Anwender weiß - zumindest wenn diese bereit sind, diese mit ihm zu teilen. Das führt dazu, dass es künftig nicht mehr eine einzige universelle Internet-Suche gibt, sondern unzählige verschiedene Suchergebnisse, die stets auf die Präferenzen der User angepasst sind.
  18. Lewandowski, D.; Spree, U.: Ranking of Wikipedia articles in search engines revisited : fair ranking for reasonable quality? (2011) 0.01
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    Date
    30. 9.2012 19:27:22
  19. Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.01
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    Date
    26. 1.2014 18:48:22
  20. Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22

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