Search (26 results, page 1 of 2)

  • × theme_ss:"Suchmaschinen"
  • × year_i:[2010 TO 2020}
  1. Kopp, O.: Google Hummingbird-Algorithmus-Update : Infos & Hintergründe (2013) 0.03 
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    Abstract
    Pünktlich zum 15. Geburtstag der Google Suche verkündete Google gestern auf einer Pressekonferenz in der "Gründungs-Garage", dass das bedeutendste Google Update seit dem Caffeine Update im Jahr 2010 und größte Algorithmus-Update seit 2001 schon seit ca. einem Monat aktiv ist. Das aktuelle Update heißt Hummingbird zu deutsch Kollibri. Es soll ca. 90% aller Suchanfragen betreffen und soll im Vergleich zu Caffeine ein echtes Algorithmus-Update sein. Es soll dabei helfen komplexere Suchanfragen besser zu deuten und noch besser die eigentliche Suchintention bzw. Fragestellung hinter einer Suchanfrage zu erkennen sowie passende Dokumente dazu anzubieten. Auch auf Dokumentenebene soll die eigentliche Intention hinter dem Content besser mit der Suchanfrage gematcht werden.
  2. Vidinli, I.B.; Ozcan, R.: New query suggestion framework and algorithms : a case study for an educational search engine (2016) 0.02 
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    Abstract
    Query suggestion is generally an integrated part of web search engines. In this study, we first redefine and reduce the query suggestion problem as "comparison of queries". We then propose a general modular framework for query suggestion algorithm development. We also develop new query suggestion algorithms which are used in our proposed framework, exploiting query, session and user features. As a case study, we use query logs of a real educational search engine that targets K-12 students in Turkey. We also exploit educational features (course, grade) in our query suggestion algorithms. We test our framework and algorithms over a set of queries by an experiment and demonstrate a 66-90% statistically significant increase in relevance of query suggestions compared to a baseline method.
  3. Lewandowski, D.: ¬The retrieval effectiveness of search engines on navigational queries (2011) 0.02 
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    Abstract
    Purpose - The purpose of this paper is to test major web search engines on their performance on navigational queries, i.e. searches for homepages. Design/methodology/approach - In total, 100 user queries are posed to six search engines (Google, Yahoo!, MSN, Ask, Seekport, and Exalead). Users described the desired pages, and the results position of these was recorded. Measured success and mean reciprocal rank are calculated. Findings - The performance of the major search engines Google, Yahoo!, and MSN was found to be the best, with around 90 per cent of queries answered correctly. Ask and Exalead performed worse but received good scores as well. Research limitations/implications - All queries were in German, and the German-language interfaces of the search engines were used. Therefore, the results are only valid for German queries. Practical implications - When designing a search engine to compete with the major search engines, care should be taken on the performance on navigational queries. Users can be influenced easily in their quality ratings of search engines based on this performance. Originality/value - This study systematically compares the major search engines on navigational queries and compares the findings with studies on the retrieval effectiveness of the engines on informational queries.
  4. Weigert, M.: Erkunden statt suchen : HORIZOBU (2011) 0.01 
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    Content
    "In Deutschland werden über 90 Prozent aller Suchen über Google abgewickelt. In der Schweiz sieht es ähnlich aus. Und während in den USA mit der Microsoft-Suchmaschine Bing immerhin ein ernstzunehmender Konkurrent existiert, liegt Googles Marktanteil auch dort bei immerhin knapp 65 Prozent. Und trotz oder gerade wegen dieser eindeutigen Dominanz eines Unternehmens gibt es immer mal wieder Versuche, alternative Suchwerkzeuge zu etablieren. Manchmal - wie im Falle von Cuil - geht dies ordentlich daneben. Und ab und an lässt sich so zumindest ein kleiner Achtungserfolg erzielen, wie Blekko es bewiesen hat. horizobu heißt ein neuer Protagonist im Bereich der alternativen Suchmaschinen, der heute im Beta-Stadium sein Onlinedebüt feiert. Das Startup aus Zürich versucht bereits in der Eigendefinition, Vergleiche mit Google zu vermeiden, in dem es sich explizit nicht als Suchmaschine sondern als "Exploration Engine" bezeichnet. Im Vordergrund steht bei horizobu demnach nicht das Finden von Gesuchtem, sondern das Erkunden von Websites und Kontext zu einem bestimmten Thema.
  5. Lewandowski, D.: Query understanding (2011) 0.01 
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    Date
    18. 9.2018 18:22:18
  6. Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.01 
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    Date
    17.12.2013 11:02:22
  7. Tober, M.; Hennig, L.; Furch, D.: SEO Ranking-Faktoren und Rang-Korrelationen 2014 : Google Deutschland (2014) 0.01 
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    Date
    13. 9.2014 14:45:22
  8. Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019) 0.01 
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    Date
    19. 2.2019 17:22:00
  9. Fluhr, C.: Crosslingual access to photo databases (2012) 0.01 
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    Date
    17. 4.2012 14:25:22
  10. Chen, L.-C.: Next generation search engine for the result clustering technology (2012) 0.01 
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    Date
    17. 4.2012 15:22:11
  11. Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012) 0.01 
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    Date
    20. 4.2012 13:19:22
  12. 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
  13. Huvila, I.: Affective capitalism of knowing and the society of search engine (2016) 0.01 
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    Date
    20. 1.2015 18:30:22
  14. Haubner, S.: Was uns Google vorenthält : Alternativen zum Marktführer gibt es beim Suchen im Internet kaum - Wir erklären, wie der Suchmaschinen-Gigant "Google" funktioniert. (2012) 0.01 
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    Content
    Keine ernsthafte Konkurrenz Damit ist die Geschichte der Suchmaschinen weitestgehend erzählt - außer, dass Yahoo praktisch keine Rolle mehr spielt. Um das Gesuchte in den Weiten des Netzes zu finden, benutzt man heute Google. Mehr als 90 Prozent aller Suchanfragen in Deutschland laufen Schätzungen zufolge über die Rechenzentren des US-Konzerns. Ernsthafte Konkurrenten? Keine. Einst erfolgreiche Dienste wie Excite, Infoseek, AltaVista oder Lycos sind längst von der Bildfläche verschwunden. Liefert nicht Google zu allen erdenklichen Suchbegriffen zigtausend Ergebnisse? Mehr, so die allgemeine Auffassung, kann sowieso kein Mensch verarbeiten. Dahinter steht der naive Glaube, Google bilde die digitale Welt in ihrer Gesamtheit ab. Oder, schlimmer noch, gar die reale Welt. Dabei könnte nichts weiter von der Realität entfernt sein, wie Dr. Wolfgang Sander-Beuermann, Leiter des Suchmaschinenlabors der Leibniz-Universität Hannover erklärt. Denn Google entscheidet, nach welchen Kriterien die digitale Welt durchkämmt wird. Google legt fest, welche Webseiten unter den ersten zehn Ergebnissen zu einer Suche angezeigt werden. Da die Mehrheit der Nutzer ohnehin nur diese wahrnimmt, bestimmt ein einzelnes Unternehmen, welchen Ausschnitt der Wirklichkeit die Menschheit zu sehen bekommt. Und die Algorithmen, nach denen die Suchmaschine funktioniert, hält der Konzern streng unter Verschluss: "Google entscheidet, welches Wissen wahrgenommen wird, und welches nicht; was im Internet existiert und was nicht." Die Macht, die dem Konzern damit zukomme, reiche weit über die Kontrolle des Wissenszugangs durch Suchmaschinen hinaus. "Was wir hier beobachten, ist eine Monokultur mit gravierenden Folgen für die Informations- und Wissenskultur", warnt der Wissenschaftler, der deshalb bereits vor Jahren "SuMa e.V.", einen "Verein für freien Wissenszugang", gegründet hat. Er setzt sich dafür ein, "globale Online-Oligopole besser zu kontrollieren". Um den freien Zugang zu dem im Internet gespeicherten Wissen für möglichst viele Menschen zu ermöglichen, sei es außerdem "von entscheidender Bedeutung, die dahinterstehende Technologie zu entwickeln und zu fördern - auch und gerade in Deutschland." Doch genau das wurde in den vergangenen zehn Jahren versäumt.
  15. Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012) 0.01 
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    Date
    20. 4.2012 13:22:37
  16. 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
  17. 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
  18. 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
  19. Alqaraleh, S.; Ramadan, O.; Salamah, M.: Efficient watcher based web crawler design (2015) 0.01 
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    Date
    20. 1.2015 18:30:22
  20. epd: Kaiserslauterer Forscher untersuchen Google-Suche (2017) 0.01 
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    Date
    22. 7.2004 9:42:33

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