Search (168 results, page 1 of 9)

  • × theme_ss:"Suchmaschinen"
  1. Neue Suchmaschine von Q-Sensei ermöglicht mehrdimensionales Navigieren (2009) 0.06 
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    Content
    "Mit dem Ziel, wissenschaftliche Informationen auf eine neue, effizientere Art und Weise zugänglich zu machen, startet die neue Suchmaschine von Q-Sensei, die im Vergleich zu anderen Suchdiensten ein tiefergehendes, komfortableres und präziseres Finden ermöglicht. Die neue Suchmaschine bietet ein multilineares Interface, welches es den Nutzern erlaubt, jederzeit ihre Suche zu steuern, eigene Parameter zu definieren und einen umfassenden Überblick im Zugriff auf Wissen zu behalten. Q-Sensei bietet aktuell Zugang zu sieben Millionen wissenschaftlichen Artikeln, die mit großer Genauigkeit effektiv durchsucht werden können. Erreicht wird das durch die Analyse der Suchergebnisse, wodurch passend zu jeder Suchanfrage automatisch relevante Suchvorschläge angezeigt werden. Diese können wiederum selbst durchsucht werden, was den Nutzern größere Freiheiten bei der Suche bietet als dies bei anderen Suchmaschinen der Fall ist. Die Q-Sensei Technologie verbindet verschiedene Kategorien von Suchvorschlägen, wie z.B. Autor, Stichworte, Sprache und Jahr der Veröffentlichung miteinander, wodurch ein mehrdimensionales Navigieren möglich wird. Durch die Möglichkeit, Suchvorschläge beliebig miteinander zu kombinieren, hinzuzufügen und zu entfernen, können Nutzer ihre Suche jederzeit bequem erweitern und anpassen und so auch Literatur finden, die ihnen ansonsten entgangen wäre.
    Sobald Nutzer die gewünschten Ergebnisse gefunden haben, können sie auf weitere Informationen zu jedem Treffer zugreifen. Dazu zählen Zitate, Webseiten von Herausgebern oder verwandte Wikipedia-Artikel. Außerdem werden weitere verwandte Themen oder Einträge aus der Q-Sensei-Datenbank angezeigt, die als Ausgangspunkt für eine neue Suche dienen können. Ferner haben alle Nutzer die Möglichkeit, Einträge mit eigenen Daten anzureichern oder zu ändern, sowie weitere relevante Informationen wie Webseiten von Autoren oder Zitate im Wiki-Stil einzutragen. Die Q-Sensei Corp. wurde im April 2007 durch den Zusammenschluss der in Deutschland ansässigen Lalisio GmbH und der US-amerikanischen Gesellschaft QUASM Corporation gegründet. Q-Sensei hat seinen vorübergehenden Sitz in Melbourne, FL und betreibt in Erfurt die Tochterfirma Lalisio."
  2. Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019) 0.05 
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    Abstract
    Purpose The purpose of this paper is to describe a new method to improve the analysis of search engine results by considering the provider level as well as the domain level. This approach is tested by conducting a study using queries on the topic of insurance comparisons. Design/methodology/approach The authors conducted an empirical study that analyses the results of search queries aimed at comparing insurance companies. The authors used a self-developed software system that automatically queries commercial search engines and automatically extracts the content of the returned result pages for further data analysis. The data analysis was carried out using the KNIME Analytics Platform. Findings Google's top search results are served by only a few providers that frequently appear in these results. The authors show that some providers operate several domains on the same topic and that these domains appear for the same queries in the result lists. Research limitations/implications The authors demonstrate the feasibility of this approach and draw conclusions for further investigations from the empirical study. However, the study is a limited use case based on a limited number of search queries. Originality/value The proposed method allows large-scale analysis of the composition of the top results from commercial search engines. It allows using valid empirical data to determine what users actually see on the search engine result pages.
    Date
    20. 1.2015 18:30:22
  3. Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012) 0.04 
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    Abstract
    This chapter shows that the wider use of Web search engines, reconsidering the theoretical and methodological frameworks to grasp new information practices. Beginning with an overview of the recent challenges implied by the dynamic nature of the Web, this chapter then traces the information behavior related concepts in order to present the different approaches from the user perspective. The authors pay special attention to the concept of "information practice" and other related concepts such as "use", "activity", and "behavior" largely used in the literature but not always strictly defined. The authors provide an overview of user-oriented studies that are meaningful to understand the different contexts of use of electronic information access systems, focusing on five approaches: the system-oriented approaches, the theories of information seeking, the cognitive and psychological approaches, the management science approaches, and the marketing approaches. Future directions of work are then shaped, including social searching and the ethical, cultural, and political dimensions of Web search engines. The authors conclude considering the importance of Critical theory to better understand the role of Web Search engines in our modern society.
    Date
    20. 4.2012 13:22:37
  4. Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012) 0.04 
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    Abstract
    The explosion of the information available on the Internet has made traditional information retrieval systems, characterized by one size fits all approaches, less effective. Indeed, users are overwhelmed by the information delivered by such systems in response to their queries, particularly when the latter are ambiguous. In order to tackle this problem, the state-of-the-art reveals that there is a growing interest towards contextual information retrieval (CIR) which relies on various sources of evidence issued from the user's search background and environment, in order to improve the retrieval accuracy. This chapter focuses on mobile context, highlights challenges they present for IR, and gives an overview of CIR approaches applied in this environment. Then, the authors present an approach to personalize search results for mobile users by exploiting both cognitive and spatio-temporal contexts. The experimental evaluation undertaken in front of Yahoo search shows that the approach improves the quality of top search result lists and enhances search result precision.
    Date
    20. 4.2012 13:19:22
  5. Pothe, A.: Nachgezählt : Wie groß ist das WWW? (2004) 0.03 
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    Content
    "Die verflixten dynamischen Seiten Viele Server erzeugen Seiten erst in dem Moment, in dem sie der Nutzer anfordert. Dabei greifen sie für die Inhalte auf Datenbanken zurück. Die dafür notwendigen Parameter werden bei der Anforderung der Seiten mit übermittelt. Für die Anforderung von WebSeiten kennt das HTTP-Protokoll zwei unterschiedliche Methoden - "GET" und "POST". Mit GET angeforderte dynamische Seiten erkennt man in der Regel leicht an den Parametern, die an die URL gehängt werden. Beispielsweise übergibt der Aufruf http://www.google.com/search?q=Beispiel an Google eine Suchanfrage (Parameter "q") nach dem Wort "Beispiel". Die Parameter sind durch ein Fragezeichen vom Seitennamen getrennt. Webserver können die Parameter aber auch verstecken, also ohne das Fragezeichen in der Adresse auswerten. Bei der Suchmaschine Fireball zum Beispiel zeigt die Seite http://suche.fireball.de/text/test/ dieselben Ergebnisse an wie die Seite http://suche.fireball.de/cgi-bin/pursuit?T query=test&cat=fbt loc&SITE=de Dynamische Seiten mit POSTParametern lassen sich nur schwer erkennen. Hier werden Daten nämlich nicht über die URL übergeben, sondern vom Browser in den Body der HTTPAnfrage geschrieben, wo sie für den Anwender üblicherweise nicht einsehbar sind. Aus diesem Grund lassen sich dynamische Seiten mit POST-Parametern auch nicht verlinken, da die POST-Parameter in einem normalen Link nicht mit übertragen werden. Die POST-Methode ermöglicht die Übertragung von größeren Datenmengen als GET. Da die Parameter nicht in der History stehen, bietet POST eine gewisse Sicherheit bei der Übertragung von heiklen Daten wie Kreditkartennummern. Dynamische Seiten machen das WWW unendlich groß. Das zeigt sich schon bei den Suchmaschinen, in deren Suchformulare beliebige Begriffe eingegeben werden können. Bei jedem neuen Begriff, bei der kleinsten Änderung der Suchdaten gibt die Suchmaschine eine andere Seite aus. Um genau diejenigen Seiten zu erfassen, die auch Suchrnaschinen indexieren können, bedarf es eines Kompromisses: Dynamische Seiten wurden nur gezählt, wenn sie nicht voraussetzen, dass für ihren Abruf ein Textfeld ausgefüllt wird. Sobald Seitengenerierungen aus Textfeldern unberücksichtigt bleiben, wird nur noch eine endliche Menge an Seiten untersucht. Seiten mit (sichtbaren wie unsichtbaren) GET-Parametern in der URL können Suchmaschinen dagegen indexieren. Bei der Untersuchung wurden dynamische Seiten mit sichtbaren Parametern ebenfalls nicht erfasst, sondern durch den Korrekturfaktor mit berücksichtigt."
  6. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.03 
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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/.
  7. Spink, A.; Ozmultu, H.C.: Characteristics of question format web queries : an exploratory study (2002) 0.03 
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    Abstract
    Web queries in question format are becoming a common element of a user's interaction with Web search engines. Web search services such as Ask Jeeves - a publicly accessible question and answer (Q&A) search engine - request users to enter question format queries. This paper provides results from a study examining queries in question format submitted to two different Web search engines - Ask Jeeves that explicitly encourages queries in question format and the Excite search service that does not explicitly encourage queries in question format. We identify the characteristics of queries in question format in two different data sets: (1) 30,000 Ask Jeeves queries and 15,575 Excite queries, including the nature, length, and structure of queries in question format. Findings include: (1) 50% of Ask Jeeves queries and less than 1% of Excite were in question format, (2) most users entered only one query in question format with little query reformulation, (3) limited range of formats for queries in question format - mainly "where", "what", or "how" questions, (4) most common question query format was "Where can I find ..." for general information on a topic, and (5) non-question queries may be in request format. Overall, four types of user Web queries were identified: keyword, Boolean, question, and request. These findings provide an initial mapping of the structure and content of queries in question and request format. Implications for Web search services are discussed.
  8. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.03 
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    Date
    7. 2.1996 22:38:41
    Pages
    22 S
  9. Höfer, W.: Detektive im Web (1999) 0.03 
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    Date
    22. 8.1999 20:22:06
  10. Rensman, J.: Blick ins Getriebe (1999) 0.03 
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    Date
    22. 8.1999 21:22:59
  11. Stock, M.; Stock, W.G.: Recherchieren im Internet (2004) 0.03 
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    Date
    27.11.2005 18:04:22
  12. 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
  13. 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
  14. 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
  15. ap: Suchmaschinen in neuem Gewand : Metaspinner kennt 600 Millionen Seiten (1999) 0.02 
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    Date
    3. 5.1997 8:44:22
  16. Dunning, A.: Do we still need search engines? (1999) 0.02 
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    Source
    Ariadne. 1999, no.22
  17. Bawden, D.: Google and the universe of knowledge (2008) 0.02 
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    Date
    7. 6.2008 16:22:20
  18. Vise, D.A.; Malseed, M.: ¬The Google story (2005) 0.02 
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    Abstract
    Social phenomena happen, and the historians follow. So it goes with Google, the latest star shooting through the universe of trend-setting businesses. This company has even entered our popular lexicon: as many note, "Google" has moved beyond noun to verb, becoming an action which most tech-savvy citizens at the turn of the twenty-first century recognize and in fact do, on a daily basis. It's this wide societal impact that fascinated authors David Vise and Mark Malseed, who came to the book with well-established reputations in investigative reporting. Vise authored the bestselling The Bureau and the Mole, and Malseed contributed significantly to two Bob Woodward books, Bush at War and Plan of Attack. The kind of voluminous research and behind-the-scenes insight in which both writers specialize, and on which their earlier books rested, comes through in The Google Story. The strength of the book comes from its command of many small details, and its focus on the human side of the Google story, as opposed to the merely academic one. Some may prefer a dryer, more analytic approach to Google's impact on the Internet, like The Search or books that tilt more heavily towards bits and bytes on the spectrum between technology and business, like The Singularity is Near. Those wanting to understand the motivations and personal growth of founders Larry Page and Sergey Brin and CEO Eric Schmidt, however, will enjoy this book. Vise and Malseed interviewed over 150 people, including numerous Google employees, Wall Street analysts, Stanford professors, venture capitalists, even Larry Page's Cub Scout leader, and their comprehensiveness shows. As the narrative unfolds, readers learn how Google grew out of the intellectually fertile and not particularly directed friendship between Page and Brin; how the founders attempted to peddle early versions of their search technology to different Silicon Valley firms for $1 million; how Larry and Sergey celebrated their first investor's check with breakfast at Burger King; how the pair initially housed their company in a Palo Alto office, then eventually moved to a futuristic campus dubbed the "Googleplex"; how the company found its financial footing through keyword-targeted Web ads; how various products like Google News, Froogle, and others were cooked up by an inventive staff; how Brin and Page proved their mettle as tough businessmen through negotiations with AOL Europe and their controversial IPO process, among other instances; and how the company's vision for itself continues to grow, such as geographic expansion to China and cooperation with Craig Venter on the Human Genome Project. Like the company it profiles, The Google Story is a bit of a wild ride, and fun, too. Its first appendix lists 23 "tips" which readers can use to get more utility out of Google. The second contains the intelligence test which Google Research offers to prospective job applicants, and shows the sometimes zany methods of this most unusual business. Through it all, Vise and Malseed synthesize a variety of fascinating anecdotes and speculation about Google, and readers seeking a first draft of the history of the company will enjoy an easy read.
    Date
    3. 5.1997 8:44:22
  19. Ding, Y.; Yan, E.; Frazho, A.; Caverlee, J.: PageRank for ranking authors in co-citation networks (2009) 0.02 
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    Abstract
    This paper studies how varied damping factors in the PageRank algorithm influence the ranking of authors and proposes weighted PageRank algorithms. We selected the 108 most highly cited authors in the information retrieval (IR) area from the 1970s to 2008 to form the author co-citation network. We calculated the ranks of these 108 authors based on PageRank with the damping factor ranging from 0.05 to 0.95. In order to test the relationship between different measures, we compared PageRank and weighted PageRank results with the citation ranking, h-index, and centrality measures. We found that in our author co-citation network, citation rank is highly correlated with PageRank with different damping factors and also with different weighted PageRank algorithms; citation rank and PageRank are not significantly correlated with centrality measures; and h-index rank does not significantly correlate with centrality measures but does significantly correlate with other measures. The key factors that have impact on the PageRank of authors in the author co-citation network are being co-cited with important authors.
  20. Auf der Suche nach Suchmaschinen (1996) 0.02 
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    Source
    Cogito. 12(1996) H.5, S.19-22

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