Search (292 results, page 1 of 15)

  • × theme_ss:"Suchmaschinen"
  1. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.34
    0.336017 = product of:
      0.672034 = sum of:
        0.0489538 = product of:
          0.1468614 = sum of:
            0.1468614 = weight(_text_:3a in 2514) [ClassicSimilarity], result of:
              0.1468614 = score(doc=2514,freq=2.0), product of:
                0.26131085 = queryWeight, product of:
                  8.478011 = idf(docFreq=24, maxDocs=44218)
                  0.030822188 = queryNorm
                0.56201804 = fieldWeight in 2514, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  8.478011 = idf(docFreq=24, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2514)
          0.33333334 = coord(1/3)
        0.2076934 = weight(_text_:2f in 2514) [ClassicSimilarity], result of:
          0.2076934 = score(doc=2514,freq=4.0), product of:
            0.26131085 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.030822188 = queryNorm
            0.7948135 = fieldWeight in 2514, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.046875 = fieldNorm(doc=2514)
        0.2076934 = weight(_text_:2f in 2514) [ClassicSimilarity], result of:
          0.2076934 = score(doc=2514,freq=4.0), product of:
            0.26131085 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.030822188 = queryNorm
            0.7948135 = fieldWeight in 2514, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.046875 = fieldNorm(doc=2514)
        0.2076934 = weight(_text_:2f in 2514) [ClassicSimilarity], result of:
          0.2076934 = score(doc=2514,freq=4.0), product of:
            0.26131085 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.030822188 = queryNorm
            0.7948135 = fieldWeight in 2514, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.046875 = fieldNorm(doc=2514)
      0.5 = coord(4/8)
    
    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. Marchiori, M.: ¬The quest for correct information on the Web : hyper search engines (1997) 0.01
    0.013366962 = product of:
      0.053467847 = sum of:
        0.014315128 = product of:
          0.042945385 = sum of:
            0.042945385 = weight(_text_:problem in 7453) [ClassicSimilarity], result of:
              0.042945385 = score(doc=7453,freq=2.0), product of:
                0.13082431 = queryWeight, product of:
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.030822188 = queryNorm
                0.3282676 = fieldWeight in 7453, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=7453)
          0.33333334 = coord(1/3)
        0.03915272 = product of:
          0.05872908 = sum of:
            0.029497212 = weight(_text_:29 in 7453) [ClassicSimilarity], result of:
              0.029497212 = score(doc=7453,freq=2.0), product of:
                0.108422816 = queryWeight, product of:
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.030822188 = queryNorm
                0.27205724 = fieldWeight in 7453, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=7453)
            0.029231867 = weight(_text_:22 in 7453) [ClassicSimilarity], result of:
              0.029231867 = score(doc=7453,freq=2.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.2708308 = fieldWeight in 7453, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=7453)
          0.6666667 = coord(2/3)
      0.25 = coord(2/8)
    
    Abstract
    Presents a novel method to extract from a web object its hyper informative content, in contrast with current search engines, which only deal with the textual information content. This method is not only valuable per se, but it is shown to be able to considerably increase the precision of current search engines. It integrates with existing search engine technology since it can be implemented on top of every search engine, acting as a post-processor, thus automatically transforming a search engine into its corresponding hyper version. Shows how the hyper information can be usefully employed to face the search engines persuasion problem
    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1225-1235
  3. Mukherjea, S.; Hirata, K.; Hara, Y.: Towards a multimedia World-Wide Web information retrieval engine (1997) 0.01
    0.011457397 = product of:
      0.045829587 = sum of:
        0.012270111 = product of:
          0.03681033 = sum of:
            0.03681033 = weight(_text_:problem in 2678) [ClassicSimilarity], result of:
              0.03681033 = score(doc=2678,freq=2.0), product of:
                0.13082431 = queryWeight, product of:
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.030822188 = queryNorm
                0.28137225 = fieldWeight in 2678, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2678)
          0.33333334 = coord(1/3)
        0.033559475 = product of:
          0.05033921 = sum of:
            0.025283325 = weight(_text_:29 in 2678) [ClassicSimilarity], result of:
              0.025283325 = score(doc=2678,freq=2.0), product of:
                0.108422816 = queryWeight, product of:
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.030822188 = queryNorm
                0.23319192 = fieldWeight in 2678, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2678)
            0.025055885 = weight(_text_:22 in 2678) [ClassicSimilarity], result of:
              0.025055885 = score(doc=2678,freq=2.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.23214069 = fieldWeight in 2678, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2678)
          0.6666667 = coord(2/3)
      0.25 = coord(2/8)
    
    Abstract
    Describes a search engine that integrate text and image search. 1 or more Web site can be indexed for both textual and image information, allowing the user to search based on keywords or images or both. Another problem with the current search engines is that they show the results as pages of scrolled lists; this is not very user-friendly. The search engine allows the user to visualise to results in various ways. Explains the indexing and searching techniques of the search engine and highlights several features of the querying interface to make the retrieval process more efficient. Use examples to show the usefulness of the technology
    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1181-1191
  4. Sauer, D.: Alles schneller finden (2001) 0.01
    0.008446099 = product of:
      0.067568794 = sum of:
        0.067568794 = product of:
          0.10135318 = sum of:
            0.05959337 = weight(_text_:29 in 6835) [ClassicSimilarity], result of:
              0.05959337 = score(doc=6835,freq=4.0), product of:
                0.108422816 = queryWeight, product of:
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.030822188 = queryNorm
                0.5496386 = fieldWeight in 6835, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.078125 = fieldNorm(doc=6835)
            0.04175981 = weight(_text_:22 in 6835) [ClassicSimilarity], result of:
              0.04175981 = score(doc=6835,freq=2.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.38690117 = fieldWeight in 6835, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.078125 = fieldNorm(doc=6835)
          0.6666667 = coord(2/3)
      0.125 = coord(1/8)
    
    Date
    1. 8.1997 14:03:29
    11.11.2001 17:25:22
    Source
    Com!online. 2001, H.12, S.24-29
  5. Fluhr, C.: Crosslingual access to photo databases (2012) 0.01
    0.007401105 = product of:
      0.02960442 = sum of:
        0.021252457 = product of:
          0.06375737 = sum of:
            0.06375737 = weight(_text_:problem in 93) [ClassicSimilarity], result of:
              0.06375737 = score(doc=93,freq=6.0), product of:
                0.13082431 = queryWeight, product of:
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.030822188 = queryNorm
                0.48735106 = fieldWeight in 93, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.046875 = fieldNorm(doc=93)
          0.33333334 = coord(1/3)
        0.008351962 = product of:
          0.025055885 = sum of:
            0.025055885 = weight(_text_:22 in 93) [ClassicSimilarity], result of:
              0.025055885 = score(doc=93,freq=2.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.23214069 = fieldWeight in 93, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=93)
          0.33333334 = coord(1/3)
      0.25 = coord(2/8)
    
    Abstract
    This paper is about search of photos in photo databases of agencies which sell photos over the Internet. The problem is far from the behavior of photo databases managed by librarians and also far from the corpora generally used for research purposes. The descriptions use mainly single words and it is well known that it is not the best way to have a good search. This increases the problem of semantic ambiguity. This problem of semantic ambiguity is crucial for cross-language querying. On the other hand, users are not aware of documentation techniques and use generally very simple queries but want to get precise answers. This paper gives the experience gained in a 3 year use (2006-2008) of a cross-language access to several of the main international commercial photo databases. The languages used were French, English, and German.
    Date
    17. 4.2012 14:25:22
  6. Loeper, D. von: Sherlock Holmes im Netz (1997) 0.01
    0.0069915573 = product of:
      0.05593246 = sum of:
        0.05593246 = product of:
          0.083898686 = sum of:
            0.042138875 = weight(_text_:29 in 6566) [ClassicSimilarity], result of:
              0.042138875 = score(doc=6566,freq=2.0), product of:
                0.108422816 = queryWeight, product of:
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.030822188 = queryNorm
                0.38865322 = fieldWeight in 6566, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.078125 = fieldNorm(doc=6566)
            0.04175981 = weight(_text_:22 in 6566) [ClassicSimilarity], result of:
              0.04175981 = score(doc=6566,freq=2.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.38690117 = fieldWeight in 6566, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.078125 = fieldNorm(doc=6566)
          0.6666667 = coord(2/3)
      0.125 = coord(1/8)
    
    Date
    22. 2.1997 19:50:29
  7. Hock, R.: Search engines (2009) 0.01
    0.006036883 = product of:
      0.024147533 = sum of:
        0.014315128 = product of:
          0.042945385 = sum of:
            0.042945385 = weight(_text_:problem in 3876) [ClassicSimilarity], result of:
              0.042945385 = score(doc=3876,freq=2.0), product of:
                0.13082431 = queryWeight, product of:
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.030822188 = queryNorm
                0.3282676 = fieldWeight in 3876, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=3876)
          0.33333334 = coord(1/3)
        0.009832405 = product of:
          0.029497212 = sum of:
            0.029497212 = weight(_text_:29 in 3876) [ClassicSimilarity], result of:
              0.029497212 = score(doc=3876,freq=2.0), product of:
                0.108422816 = queryWeight, product of:
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.030822188 = queryNorm
                0.27205724 = fieldWeight in 3876, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=3876)
          0.33333334 = coord(1/3)
      0.25 = coord(2/8)
    
    Abstract
    This entry provides an overview of Web search engines, looking at the definition, components, leading engines, searching capabilities, and types of engines. It examines the components that make up a search engine and briefly discusses the process involved in identifying content for the engines' databases and the indexing of that content. Typical search options are reviewed and the major Web search engines are identified and described. Also identified and described are various specialty search engines, such as those for special content such as video and images, and engines that take significantly different approaches to the search problem, such as visualization engines and metasearch engines.
    Date
    27. 8.2011 14:29:48
  8. Lewandowski, D.: Alles nur noch Google? : Entwicklungen im Bereich der WWW-Suchmaschinen (2002) 0.01
    0.0055932454 = product of:
      0.044745963 = sum of:
        0.044745963 = product of:
          0.06711894 = sum of:
            0.033711098 = weight(_text_:29 in 997) [ClassicSimilarity], result of:
              0.033711098 = score(doc=997,freq=2.0), product of:
                0.108422816 = queryWeight, product of:
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.030822188 = queryNorm
                0.31092256 = fieldWeight in 997, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.0625 = fieldNorm(doc=997)
            0.03340785 = weight(_text_:22 in 997) [ClassicSimilarity], result of:
              0.03340785 = score(doc=997,freq=2.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.30952093 = fieldWeight in 997, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0625 = fieldNorm(doc=997)
          0.6666667 = coord(2/3)
      0.125 = coord(1/8)
    
    Date
    29. 9.2002 18:49:22
  9. Becker, F.: Internet-Suchmaschinen : Funktionsweise und Beurteilung (1999) 0.01
    0.0055932454 = product of:
      0.044745963 = sum of:
        0.044745963 = product of:
          0.06711894 = sum of:
            0.033711098 = weight(_text_:29 in 1770) [ClassicSimilarity], result of:
              0.033711098 = score(doc=1770,freq=2.0), product of:
                0.108422816 = queryWeight, product of:
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.030822188 = queryNorm
                0.31092256 = fieldWeight in 1770, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.0625 = fieldNorm(doc=1770)
            0.03340785 = weight(_text_:22 in 1770) [ClassicSimilarity], result of:
              0.03340785 = score(doc=1770,freq=2.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.30952093 = fieldWeight in 1770, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0625 = fieldNorm(doc=1770)
          0.6666667 = coord(2/3)
      0.125 = coord(1/8)
    
    Date
    23.10.1996 17:26:29
    22. 3.2008 14:04:11
  10. Hosbach, W.: Gates gegen Google : Neue Suchmaschine von MSN (2005) 0.01
    0.0053033363 = product of:
      0.021213345 = sum of:
        0.0072302315 = product of:
          0.021690695 = sum of:
            0.021690695 = weight(_text_:problem in 3221) [ClassicSimilarity], result of:
              0.021690695 = score(doc=3221,freq=4.0), product of:
                0.13082431 = queryWeight, product of:
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.030822188 = queryNorm
                0.16580018 = fieldWeight in 3221, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.01953125 = fieldNorm(doc=3221)
          0.33333334 = coord(1/3)
        0.013983115 = product of:
          0.020974671 = sum of:
            0.010534719 = weight(_text_:29 in 3221) [ClassicSimilarity], result of:
              0.010534719 = score(doc=3221,freq=2.0), product of:
                0.108422816 = queryWeight, product of:
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.030822188 = queryNorm
                0.097163305 = fieldWeight in 3221, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.01953125 = fieldNorm(doc=3221)
            0.010439953 = weight(_text_:22 in 3221) [ClassicSimilarity], result of:
              0.010439953 = score(doc=3221,freq=2.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.09672529 = fieldWeight in 3221, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.01953125 = fieldNorm(doc=3221)
          0.6666667 = coord(2/3)
      0.25 = coord(2/8)
    
    Content
    Bei der Suche +Dell +Notebook -Pentium konnte Beta-MSN glänzen: Acht von zehn Treffern lieferten Informationen zu Dell-Notebooks ohne Pentium-Prozessor. Bei Google waren es nur sieben. Dann prüften wir weitere Operatoren. Die Anführungszeichen für einen genauen Ausdruck beherrschten alle Roboter fehlerfrei. Boolesche Operatoren wiederum können nur Beta-MSN, Yahoo und Web.de. Diese Suchhilfen werden zwar selten verwendet, liefern aber präzise Ergebnisse zu komplexen Fragestellungen -wenn die Suchmaschine die Syntax fehlerfrei beherrscht. Hier scheint BetaMSN noch zu schwächeln, den es kam zu drei Fehlern. Die nächsten Suchabfragen zielten auf Spam und Dialer: "last minute" "La Palma" und "bauanleitung vogelhäuschen" Es zeigte sich, dass alle Roboter mit Spam zu kämpfen haben, Beta-MSN vorneweg. Bauanleitungen stecken besonders gerne hinter Dialern, und so waren die ersten drei Google-Treffer kostenpflichtig (z.B. 29 Euro). Immerhin förderte Google fünf richtige Seiten hervor. Beta-MSN fand nur vier Seiten - alle unbrauchbar. Mit den letzten drei Fragen testeten wir die Aktualität der Ergebnisse. Als schwierige Testfrage stellte sich Schröder China heraus. Der erste Google-Treffer berichtet gleich von der Schröder-Reise - aber von der aus dem Jahr 2003. Denn der Kanzler reist traditionell jedes Jahr im Dezember nach China. Immerhin finden wir bei Google fünf Seiten zur aktuellen Chinafahrt, ebenso bei BetaMSN, je zwei bei Yahoo und Alt-MSN sowie drei bei Web.de. Bei der Eingabe merkel "cdu-parteitag" konnte Google nun wieder glänzen und warf zehn Treffer zum Dezember-Treffen in Düsseldorf aus. Beta-MSN kam nur auf vier. Vier weitere Seiten berichten von gar keinem Parteitag. Bei Beta-MSN tritt auffällig häufig das Problem auf (nicht nur bei dieser Suche), dass der Roboter Übersichtsseiten von Nachrichten indiziert. Zum Beispiel erschien häufiger www. spiegel.de/politik/deutschland. Doch diese Seite ändert sich stündlich. Wenn dort heute auf einen Artikel über den Parteitag hingewiesen wird, ist er morgen verschwunden. Beta-MSN müsste vielmehr die Artikel selbst in die Datenbank nehmen - so wie Google. Das angesprochene Problem ändert sich auch dann nicht, wenn der Anwender den Aktualitätsschieber hoch stellt. Denn Beta-MSN bietet die einzigartige Möglichkeit, in die Relevanz der Suche eingreifen zu können. Im Suchassistenten gibt der Anwender vor, ob ihm Aktualität, Popularität oder Präzision wichtig ist. Geholfen hat es in diesem Fall nicht. Inzwischen hat MSN ein Such-Tool für den Desktop vorgestellt. Auch hier ist Google ein Vorbild. Fazit Bislang kann sich die Beta noch nicht von anderen Suchmaschinen abheben. Sie liegt in puncto Relevanz, Präzision und Aktualität im Mittelfeld (siehe Tabelle), was an sich kein schlechter Start ist. Meist sind ihre Ergebnisse besser als die von Alt-MSN, aber noch weit von denen von Google entfernt. Links auf Seiten, die es nicht mehr gibt (Fehler 404), traten bei Beta-MSN gar nicht auf. Das spricht dafür, dass der Roboter den Index oft erneuert. Ein endgültiges Urteil schließt sich an dieser Stelle aus, denn es handelt sich um eine BetaVersion. Deswegen auch kein Test und keine Noten."
    Date
    22. 1.2005 17:11:04
  11. Bilal, D.: Children's use of the Yahooligans! Web search engine : III. Cognitive and physical behaviors on fully self-generated search tasks (2002) 0.01
    0.005155518 = product of:
      0.020622073 = sum of:
        0.012270111 = product of:
          0.03681033 = sum of:
            0.03681033 = weight(_text_:problem in 5228) [ClassicSimilarity], result of:
              0.03681033 = score(doc=5228,freq=2.0), product of:
                0.13082431 = queryWeight, product of:
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.030822188 = queryNorm
                0.28137225 = fieldWeight in 5228, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.046875 = fieldNorm(doc=5228)
          0.33333334 = coord(1/3)
        0.008351962 = product of:
          0.025055885 = sum of:
            0.025055885 = weight(_text_:22 in 5228) [ClassicSimilarity], result of:
              0.025055885 = score(doc=5228,freq=2.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.23214069 = fieldWeight in 5228, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=5228)
          0.33333334 = coord(1/3)
      0.25 = coord(2/8)
    
    Abstract
    Bilal, in this third part of her Yahooligans! study looks at children's performance with self-generated search tasks, as compared to previously assigned search tasks looking for differences in success, cognitive behavior, physical behavior, and task preference. Lotus ScreenCam was used to record interactions and post search interviews to record impressions. The subjects, the same 22 seventh grade children in the previous studies, generated topics of interest that were mediated with the researcher into more specific topics where necessary. Fifteen usable sessions form the basis of the study. Eleven children were successful in finding information, a rate of 73% compared to 69% in assigned research questions, and 50% in assigned fact-finding questions. Eighty-seven percent began using one or two keyword searches. Spelling was a problem. Successful children made fewer keyword searches and the number of search moves averaged 5.5 as compared to 2.4 on the research oriented task and 3.49 on the factual. Backtracking and looping were common. The self-generated task was preferred by 47% of the subjects.
  12. Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012) 0.01
    0.005155518 = product of:
      0.020622073 = sum of:
        0.012270111 = product of:
          0.03681033 = sum of:
            0.03681033 = weight(_text_:problem in 108) [ClassicSimilarity], result of:
              0.03681033 = score(doc=108,freq=2.0), product of:
                0.13082431 = queryWeight, product of:
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.030822188 = queryNorm
                0.28137225 = fieldWeight in 108, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.046875 = fieldNorm(doc=108)
          0.33333334 = coord(1/3)
        0.008351962 = product of:
          0.025055885 = sum of:
            0.025055885 = weight(_text_:22 in 108) [ClassicSimilarity], result of:
              0.025055885 = score(doc=108,freq=2.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.23214069 = fieldWeight in 108, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=108)
          0.33333334 = coord(1/3)
      0.25 = coord(2/8)
    
    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
  13. Röhle, T.: Machtkonzepte in der Suchmaschinenforschung (2007) 0.01
    0.00503933 = product of:
      0.02015732 = sum of:
        0.010225092 = product of:
          0.030675275 = sum of:
            0.030675275 = weight(_text_:problem in 388) [ClassicSimilarity], result of:
              0.030675275 = score(doc=388,freq=2.0), product of:
                0.13082431 = queryWeight, product of:
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.030822188 = queryNorm
                0.23447686 = fieldWeight in 388, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=388)
          0.33333334 = coord(1/3)
        0.009932228 = product of:
          0.029796684 = sum of:
            0.029796684 = weight(_text_:29 in 388) [ClassicSimilarity], result of:
              0.029796684 = score(doc=388,freq=4.0), product of:
                0.108422816 = queryWeight, product of:
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.030822188 = queryNorm
                0.2748193 = fieldWeight in 388, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=388)
          0.33333334 = coord(1/3)
      0.25 = coord(2/8)
    
    Abstract
    Suchmaschinen und Macht - nicht nur in der Wissenschaft, sondern auch in der Presse werden diese Begriffe immer häufiger in einem Atemzug genannt. Angesichts Googles Dominanz des Suchmaschinenmarkts mehren sich Bedenken über Monopolbildung, Datenschutz, Zensur und Manipulation, die sich in Artikeln mit so illustrativen Überschriften wie »Der Datenkrake«, »Das Imperium« oder »The Evil Thing« äußern. Die Verbindung zwischen Suchmaschinen und Macht erschließt sich intuitiv ohne Weiteres: »Sie lenken die Aufmerksamkeit der Nutzer und haben damit Macht«. Die Frage aber, wie sich diese Macht genauer konzeptualisieren und verorten lässt und inwiefern frühere Vorstellungen von Medienmacht und Medieneffekten in diesem neuen Feld relevant sind, ist in der Suchmaschinenforschung bisher nur sehr schematisch beantwortet worden. Ein grundlegendes Problem ist darin zu sehen, dass Suchmaschinen eine in vielen Aspekten neue und machttheoretisch ungeklärte Nutzungssituation schaffen. Technikhistorisch lassen sich Suchmaschinen zwar eindeutig als Nachfolger früherer Information-Retrieval-Systeme einordnen. Da diese jedoch hauptsächlich von kompetenten Nutzern für spezifische Recherchen in homogenen und vollständigen Datenbeständen eingesetzt wurden, kam der Frage der Macht hier keine größere Bedeutung zu. Völlig anders stellt sich die Situation bei den Suchmaschinen dar: Als integraler Bestandteil der Internetnutzung betreffen ihre Relevanzkriterien einen wesentlich größeren Kreis von Nutzern, die mit sehr unterschiedlichen Motivationen eine Auswahl des Datenbestands durchsuchen.
    Date
    13. 5.2007 10:29:29
  14. Chang, C.-H.; Hsu, C.-C.: Customizable multi-engine search tool with clustering (1997) 0.00
    0.00489409 = product of:
      0.03915272 = sum of:
        0.03915272 = product of:
          0.05872908 = sum of:
            0.029497212 = weight(_text_:29 in 2670) [ClassicSimilarity], result of:
              0.029497212 = score(doc=2670,freq=2.0), product of:
                0.108422816 = queryWeight, product of:
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.030822188 = queryNorm
                0.27205724 = fieldWeight in 2670, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=2670)
            0.029231867 = weight(_text_:22 in 2670) [ClassicSimilarity], result of:
              0.029231867 = score(doc=2670,freq=2.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.2708308 = fieldWeight in 2670, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=2670)
          0.6666667 = coord(2/3)
      0.125 = coord(1/8)
    
    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1217-1224
  15. Hancock, B.: Subject-specific search engines : using the Harvest system to gather and maintain information on the Internet (1998) 0.00
    0.00489409 = product of:
      0.03915272 = sum of:
        0.03915272 = product of:
          0.05872908 = sum of:
            0.029497212 = weight(_text_:29 in 3238) [ClassicSimilarity], result of:
              0.029497212 = score(doc=3238,freq=2.0), product of:
                0.108422816 = queryWeight, product of:
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.030822188 = queryNorm
                0.27205724 = fieldWeight in 3238, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=3238)
            0.029231867 = weight(_text_:22 in 3238) [ClassicSimilarity], result of:
              0.029231867 = score(doc=3238,freq=2.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.2708308 = fieldWeight in 3238, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=3238)
          0.6666667 = coord(2/3)
      0.125 = coord(1/8)
    
    Date
    6. 3.1997 16:22:15
    5. 3.1999 19:29:26
  16. Loia, V.; Pedrycz, W.; Senatore, S.; Sessa, M.I.: Web navigation support by means of proximity-driven assistant agents (2006) 0.00
    0.004296265 = product of:
      0.01718506 = sum of:
        0.010225092 = product of:
          0.030675275 = sum of:
            0.030675275 = weight(_text_:problem in 5283) [ClassicSimilarity], result of:
              0.030675275 = score(doc=5283,freq=2.0), product of:
                0.13082431 = queryWeight, product of:
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.030822188 = queryNorm
                0.23447686 = fieldWeight in 5283, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5283)
          0.33333334 = coord(1/3)
        0.0069599687 = product of:
          0.020879906 = sum of:
            0.020879906 = weight(_text_:22 in 5283) [ClassicSimilarity], result of:
              0.020879906 = score(doc=5283,freq=2.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.19345059 = fieldWeight in 5283, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5283)
          0.33333334 = coord(1/3)
      0.25 = coord(2/8)
    
    Abstract
    The explosive growth of the Web and the consequent exigency of the Web personalization domain have gained a key position in the direction of customization of the Web information to the needs of specific users, taking advantage of the knowledge acquired from the analysis of the user's navigational behavior (usage data) in correlation with other information collected in the Web context, namely, structure, content, and user profile data. This work presents an agent-based framework designed to help a user in achieving personalized navigation, by recommending related documents according to the user's responses in similar-pages searching mode. Our agent-based approach is grounded in the integration of different techniques and methodologies into a unique platform featuring user profiling, fuzzy multisets, proximity-oriented fuzzy clustering, and knowledge-based discovery technologies. Each of these methodologies serves to solve one facet of the general problem (discovering documents relevant to the user by searching the Web) and is treated by specialized agents that ultimately achieve the final functionality through cooperation and task distribution.
    Date
    22. 7.2006 16:59:13
  17. Carrière, S.J.; Kazman, R.: Webquery : searching and visualising the Web through connectivity (1997) 0.00
    0.0041949344 = product of:
      0.033559475 = sum of:
        0.033559475 = product of:
          0.05033921 = sum of:
            0.025283325 = weight(_text_:29 in 2674) [ClassicSimilarity], result of:
              0.025283325 = score(doc=2674,freq=2.0), product of:
                0.108422816 = queryWeight, product of:
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.030822188 = queryNorm
                0.23319192 = fieldWeight in 2674, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2674)
            0.025055885 = weight(_text_:22 in 2674) [ClassicSimilarity], result of:
              0.025055885 = score(doc=2674,freq=2.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.23214069 = fieldWeight in 2674, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2674)
          0.6666667 = coord(2/3)
      0.125 = coord(1/8)
    
    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1257-1267
  18. Su, L.T.; Chen, H.L.: Evaluation of Web search engines by undergraduate students (1999) 0.00
    0.0034496475 = product of:
      0.01379859 = sum of:
        0.008180073 = product of:
          0.02454022 = sum of:
            0.02454022 = weight(_text_:problem in 6546) [ClassicSimilarity], result of:
              0.02454022 = score(doc=6546,freq=2.0), product of:
                0.13082431 = queryWeight, product of:
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.030822188 = queryNorm
                0.1875815 = fieldWeight in 6546, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.03125 = fieldNorm(doc=6546)
          0.33333334 = coord(1/3)
        0.0056185164 = product of:
          0.016855549 = sum of:
            0.016855549 = weight(_text_:29 in 6546) [ClassicSimilarity], result of:
              0.016855549 = score(doc=6546,freq=2.0), product of:
                0.108422816 = queryWeight, product of:
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.030822188 = queryNorm
                0.15546128 = fieldWeight in 6546, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5176873 = idf(docFreq=3565, maxDocs=44218)
                  0.03125 = fieldNorm(doc=6546)
          0.33333334 = coord(1/3)
      0.25 = coord(2/8)
    
    Abstract
    This research continues to explore the user's evaluation of Web search engines using a methodology proposed by Su (1997) and tested in a pilot study (Su, Chen, & Dong, 1998). It seeks to generate useful insight for system design and improvement, and for engine choice. The researchers were interested in how undergraduate students used four selected engines to retrieve information for their studies or personal interests and how they evaluated the interaction and search results retrieved by the four engines. Measures used were based on five evaluation criteria: relevance, efficiency, utility, user satisfaction, and connectivity. Thirty-six undergraduate juniors and seniors were recruited from the disciplines of sciences, social sciences and humanities. Each searched his/her own topic on all four engines in an assigned order and each made relevance judgements of retrieved items in relation to his/her information need or problem. The study found some significant differences among the four engines but none dominated in every aspect of the multidimensional evaluation. Alta Vista had the highest number of relevant and partially relevant documents, the best relative recall and the highest precision ratio based on PR1, Alter Vista had significantly better scores for these three measures than for Lycos. Infoseek had the highest satisfaction rating for response time. Both Infoseek and Excite had significantly higher satisfaction ratings for response time than Lycos. Excite had the best score for output display. Excite and Alta Vista had significantly better scores for output display than Lycos. Excite had the best rating for time saving while Alta Vista achieved the best score for value of search results as a whole and for overall performance. Alta Vista and Excite had significantly better ratings for these three measures than Lycos. Lycos achieved the best relevance ranking performance. Further work will provide more complete picture for engine comparison and choice by taking into account participant characteristics and identify factors contributing to the user's satisfaction to gain better insight for system design and improvement
    Date
    29. 9.2001 20:39:10
  19. Herrera-Viedma, E.; Pasi, G.: Soft approaches to information retrieval and information access on the Web : an introduction to the special topic section (2006) 0.00
    0.003437012 = product of:
      0.013748048 = sum of:
        0.008180073 = product of:
          0.02454022 = sum of:
            0.02454022 = weight(_text_:problem in 5285) [ClassicSimilarity], result of:
              0.02454022 = score(doc=5285,freq=2.0), product of:
                0.13082431 = queryWeight, product of:
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.030822188 = queryNorm
                0.1875815 = fieldWeight in 5285, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.244485 = idf(docFreq=1723, maxDocs=44218)
                  0.03125 = fieldNorm(doc=5285)
          0.33333334 = coord(1/3)
        0.005567975 = product of:
          0.016703924 = sum of:
            0.016703924 = weight(_text_:22 in 5285) [ClassicSimilarity], result of:
              0.016703924 = score(doc=5285,freq=2.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.15476047 = fieldWeight in 5285, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.03125 = fieldNorm(doc=5285)
          0.33333334 = coord(1/3)
      0.25 = coord(2/8)
    
    Abstract
    The World Wide Web is a popular and interactive medium used to collect, disseminate, and access an increasingly huge amount of information, which constitutes the mainstay of the so-called information and knowledge society. Because of its spectacular growth, related to both Web resources (pages, sites, and services) and number of users, the Web is nowadays the main information repository and provides some automatic systems for locating, accessing, and retrieving information. However, an open and crucial question remains: how to provide fast and effective retrieval of the information relevant to specific users' needs. This is a very hard and complex task, since it is pervaded with subjectivity, vagueness, and uncertainty. The expression soft computing refers to techniques and methodologies that work synergistically with the aim of providing flexible information processing tolerant of imprecision, vagueness, partial truth, and approximation. So, soft computing represents a good candidate to design effective systems for information access and retrieval on the Web. One of the most representative tools of soft computing is fuzzy set theory. This special topic section collects research articles witnessing some recent advances in improving the processes of information access and retrieval on the Web by using soft computing tools, and in particular, by using fuzzy sets and/or integrating them with other soft computing tools. In this introductory article, we first review the problem of Web retrieval and the concept of soft computing technology. We then briefly introduce the articles in this section and conclude by highlighting some future research directions that could benefit from the use of soft computing technologies.
    Date
    22. 7.2006 16:59:33
  20. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.00
    0.0029528649 = product of:
      0.023622919 = sum of:
        0.023622919 = product of:
          0.07086875 = sum of:
            0.07086875 = weight(_text_:22 in 3227) [ClassicSimilarity], result of:
              0.07086875 = score(doc=3227,freq=4.0), product of:
                0.10793405 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.030822188 = queryNorm
                0.6565931 = fieldWeight in 3227, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.09375 = fieldNorm(doc=3227)
          0.33333334 = coord(1/3)
      0.125 = coord(1/8)
    
    Date
    7. 2.1996 22:38:41
    Pages
    22 S

Years

Languages

  • d 155
  • e 134
  • f 2
  • nl 1
  • More… Less…

Types

  • a 262
  • el 16
  • m 15
  • x 4
  • p 2
  • r 1
  • s 1
  • More… Less…