Search (61 results, page 1 of 4)

  • × theme_ss:"Suchtaktik"
  • × year_i:[2000 TO 2010}
  1. Morville, P.: Ambient findability : what we find changes who we become (2005) 0.01 
    0.011479586 = product of:
  0.05165814 = sum of:
    0.038693886 = sum of:
      0.018309485 = weight(_text_:web in 312) [ClassicSimilarity], result of:
        0.018309485 = score(doc=312,freq=14.0), product of:
          0.09596372 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.02940506 = queryNorm
          0.19079591 = fieldWeight in 312, product of:
            3.7416575 = tf(freq=14.0), with freq of:
              14.0 = termFreq=14.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.015625 = fieldNorm(doc=312)
      0.020384401 = weight(_text_:seite in 312) [ClassicSimilarity], result of:
        0.020384401 = score(doc=312,freq=2.0), product of:
          0.16469958 = queryWeight, product of:
            5.601063 = idf(docFreq=443, maxDocs=44218)
            0.02940506 = queryNorm
          0.12376717 = fieldWeight in 312, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            5.601063 = idf(docFreq=443, maxDocs=44218)
            0.015625 = fieldNorm(doc=312)
    0.012964252 = product of:
      0.025928505 = sum of:
        0.025928505 = weight(_text_:bewertung in 312) [ClassicSimilarity], result of:
          0.025928505 = score(doc=312,freq=2.0), product of:
            0.18575147 = queryWeight, product of:
              6.31699 = idf(docFreq=216, maxDocs=44218)
              0.02940506 = queryNorm
            0.13958707 = fieldWeight in 312, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              6.31699 = idf(docFreq=216, maxDocs=44218)
              0.015625 = fieldNorm(doc=312)
      0.5 = coord(1/2)
  0.22222222 = coord(2/9)
    Abstract
    How do you find your way in an age of information overload? How can you filter streams of complex information to pull out only what you want? Why does it matter how information is structured when Google seems to magically bring up the right answer to your questions? What does it mean to be "findable" in this day and age? This eye-opening new book examines the convergence of information and connectivity. Written by Peter Morville, author of the groundbreakin Information Architecture for the World Wide Web, the book defines our current age as a state of unlimited findability. In other words, anyone can find anything at any time. Complete navigability. Morville discusses the Internet, GIS, and other network technologies that are coming together to make unlimited findability possible. He explores how the melding of these innovations impacts society, since Web access is now a standard requirement for successful people and businesses. But before he does that, Morville looks back at the history of wayfinding and human evolution, suggesting that our fear of being lost has driven us to create maps, charts, and now, the mobile Internet.
    Footnote
    Rez. in: nfd - Information Wissenschaft und Praxis 57(2006) H.3, S.177-178 (D. Lewandowski): "Wohl unbestritten ist, dass die Suche in Informationsbeständen eine immer größere Bedeutung erhält. Wir suchen nicht nur noch explizit, indem wir ein Informationssystem anwählen und dort eine Suche absetzen, sondern verwenden Suchfunktionen innerhalb von Programmen, auf Websites, innerhalb des Betriebssystems unseres Computers oder sogar ziemlich unbewusst, indem wir Informationen maßgeschneidert aufgrund einer einmal hinterlegten Suche oder eines automatisch erstellten Suchprofils erhalten. Man kann also in der Tat davon sprechen, dass wir von der Suche umgeben werden. Das ist mit dem Konzept der "Ambient Findability" gemeint. Angelehnt ist diese Bezeichnung an den Begriff der "Ambient Music" (in den 70er Jahren durch Brian Eno geprägt), die den Hörer umgibt und von ihm oft gar nicht aktiv wahrgenommen wird. Um eine Vorstellung von dieser Musik zu bekommen, eignet sich vielleicht am besten der Titel einer Platte eben von Brian Eno: "Music for Airports". Peter Morville, bekannt als Co-Autor des empfehlenswerten Buchs "Information Architecture for the World Wide Web"', hat sich nun mit der Veränderung der Suche auseinandergesetzt. Sein Buch bedient sich in ganz unterschiedlichen Disziplinen, um die Prozesse des Suchens, Stöberns und Findens aufzuzeigen. So finden sich Betrachtungen über die Orientierung des Menschen in unbekannten Umgebungen, über die Interaktion mit Informationssystemen, über das soziale Verhalten der Web-Nutzer (Stichworte: Content-Tagging, Folksonomies, Social Networking) und über technische Veränderungen durch die Verfügbarkeit von Informationssystemen in allen Lebenskontexten, vor allem auch über mobile Endgeräte. Das Buch ist in sieben Kapitel gegliedert. Das erste, "Lost and Found" betitelt, bietet auf wenigen Seiten die Definitionen der zentralen Begriffe ambient und findability, erläutert kurz das Konzept der Information Literacy und zeigt, dass die bessere Auffindbarkeit von Informationen nicht nur ein schöner Zusatznutzen ist, sondern sich für Unternehmen deutlich auszahlt.
    Das zweite Kapitel ("A Brief History of Wayfinding") beschreibt, wie Menschen sich in Umgebungen zurechtfinden. Dies ist insofern interessant, als hier nicht erst bei Informationssystemen oder dem WWW begonnen wird, sondern allgemeine Erkenntnisse beispielsweise über die Orientierung in natürlichen Umgebungen präsentiert werden. Viele typische Verhaltensweisen der Nutzer von Informationssystemen können so erklärt werden. So interessant dieses Thema allerdings ist, wirkt das Kapitel leider doch nur wie eine Zusammenstellung von Informationen aus zweiter Hand. Offensichtlich ist, dass Morville nicht selbst an diesen Themen geforscht hat, sondern die Ergebnisse (wenn auch auf ansprechende Weise) zusammengeschrieben hat. Dieser Eindruck bestätigt sich auch in weiteren Kapiteln: Ein flüssig geschriebener Text, der es jedoch an einigen Stellen an Substanz fehlen lässt. Kapitel drei, "Information Interaction" beginnt mit einem Rückgriff auf Calvin Mooers zentrale Aussage aus dem Jahre 1959: "An information retrieval system will tend not to be used whenever it is more painful and troublesome for a customer to have information than for him not to have it." In der Tat sollte man sich dies bei der Erstellung von Informationssystemen immer vergegenwärtigen; die Reihe der Systeme, die gerade an dieser Hürde gescheitert sind, ist lang. Das weitere Kapitel führt in einige zentrale Konzepte der Informationswissenschaft (Definition des Begriffs Information, Erläuterung des Information Retrieval, Wissensrepräsentation, Information Seeking Behaviour) ein, allerdings ohne jeden Anspruch auf Vollständigkeit. Es wirkt vielmehr so, dass der Autor sich die gerade für sein Anliegen passenden Konzepte auswählt und konkurrierende Ansätze beiseite lässt. Nur ein Beispiel: Im Abschnitt "Information Interaction" wird relativ ausführlich das Konzept des Berrypicking nach Marcia J. Bates präsentiert, allerdings wird es geradezu als exklusiv verkauft, was es natürlich bei weitem nicht ist. Natürlich kann es nicht Aufgabe dieses Buchs sein, einen vollständigen Überblick über alle Theorien des menschlichen Suchverhaltens zu geben (dies ist an anderer Stelle vorbildlich geleistet worden'), aber doch wenigstens der Hinweis auf einige zentrale Ansätze wäre angebracht gewesen. Spätestens in diesem Kapitel wird klar, dass das Buch sich definitiv nicht an Informationswissenschaftler wendet, die auf der einen Seite mit den grundlegenden Themen vertraut sein dürften, andererseits ein wenig mehr Tiefgang erwarten würden. Also stellt sich die Frage - und diese ist zentral für die Bewertung des gesamten Werks.
    Im Kapitel über das "Sociosemantic Web" werden die groben Grundzüge der Klassifikationslehre erläutert, um dann ausführlich auf neuere Ansätze der Web-Erschließung wie Social Tagging und Folksonomies einzugehen. Auch dieses Kapitel gibt eher einen Überblick als den schon Kundigen vertiefende Informationen zu liefern. Das letzte Kapitel widmet sich schließlich der Art, wie Entscheidungen getroffen werden, der Network Culture, dem Information Overload, um schließlich zu den "Inspired Decisions" zu gelangen - Entscheidungen, die sowohl auf "sachlichen Informationen" (also den klassischen Zutaten der "informed decisions") als auch aus aus Netzwerken stammenden Informationen wie etwa Empfehlungen durch Freunde oder Community-Mitglieder irgendeiner Art gewonnen werden. Fasst man zusammen, so ist an Morvilles Text besonders bemerkenswert, dass nach einigen Jahren, in denen die Suche im Web als ein Problem der Suche in unstrukturierten Daten angesehen wurde, nun wieder verstärkt Erschließungsansätze, die auf klassische Erschließungsinstrumente zurückgreifen, propagiert werden. Zwar sollen sie nicht in ihrer ursprünglichen Form angewandt werden, da den Nutzern nicht zuzumuten ist, sich mit den entsprechenden Regeln auseinanderzusetzen, aber auch hinter der auf den ersten Blick zumindest chaotisch wirkenden Folksonomy ist das Prinzip der Klassifikation zu erkennen. Um die modernen Ansätze erfolgreich zu machen, bedarf es aber dringend Information Professionals, die das "beste aus beiden Welten" verbinden, um moderne, für den Nutzer optimale Informationssysteme zu schaffen. Für die Gesamtbewertung des Buchs gelten die bereits zu einzelnen Kapitels angeführten Kritikpunkte: In erster Linie bleibt das Buch zu sehr an der Oberfläche und wirkt irgendwie "zusammengeschrieben" anstatt als Ergebnis der tiefgreifenden Beschäftigung mit dem Thema. Als eine Einführung in aufkommende Technologien rund um die Suche ist es aber durchaus geeignet - gut lesbar ist der Text auf jeden Fall.
  2. Drabenstott, K.M.: Web search strategies (2000) 0.01 
    0.007922065 = product of:
  0.035649296 = sum of:
    0.027681338 = product of:
      0.055362675 = sum of:
        0.055362675 = weight(_text_:web in 1188) [ClassicSimilarity], result of:
          0.055362675 = score(doc=1188,freq=32.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.5769126 = fieldWeight in 1188, product of:
              5.656854 = tf(freq=32.0), with freq of:
                32.0 = termFreq=32.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03125 = fieldNorm(doc=1188)
      0.5 = coord(1/2)
    0.007967959 = product of:
      0.015935918 = sum of:
        0.015935918 = weight(_text_:22 in 1188) [ClassicSimilarity], result of:
          0.015935918 = score(doc=1188,freq=2.0), product of:
            0.10297151 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.02940506 = queryNorm
            0.15476047 = fieldWeight in 1188, 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=1188)
      0.5 = coord(1/2)
  0.22222222 = coord(2/9)
    Abstract
    Surfing the World Wide Web used to be cool, dude, real cool. But things have gotten hot - so hot that finding something useful an the Web is no longer cool. It is suffocating Web searchers in the smoke and debris of mountain-sized lists of hits, decisions about which search engines they should use, whether they will get lost in the dizzying maze of a subject directory, use the right syntax for the search engine at hand, enter keywords that are likely to retrieve hits an the topics they have in mind, or enlist a browser that has sufficient functionality to display the most promising hits. When it comes to Web searching, in a few short years we have gone from the cool image of surfing the Web into the frying pan of searching the Web. We can turn down the heat by rethinking what Web searchers are doing and introduce some order into the chaos. Web search strategies that are tool-based-oriented to specific Web searching tools such as search en gines, subject directories, and meta search engines-have been widely promoted, and these strategies are just not working. It is time to dissect what Web searching tools expect from searchers and adjust our search strategies to these new tools. This discussion offers Web searchers help in the form of search strategies that are based an strategies that librarians have been using for a long time to search commercial information retrieval systems like Dialog, NEXIS, Wilsonline, FirstSearch, and Data-Star.
    Content
    "Web searching is different from searching commercial IR systems. We can learn from search strategies recommended for searching IR systems, but most won't be effective for Web searching. Web searchers need strate gies that let search engines do the job they were designed to do. This article presents six new Web searching strategies that do just that."
    Date
    22. 9.1997 19:16:05
  3. Mansourian, Y.: Contextual elements and conceptual components of information visibility on the web (2008) 0.01 
    0.0065117497 = product of:
  0.029302873 = sum of:
    0.019342924 = product of:
      0.038685847 = sum of:
        0.038685847 = weight(_text_:web in 2603) [ClassicSimilarity], result of:
          0.038685847 = score(doc=2603,freq=10.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.40312994 = fieldWeight in 2603, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2603)
      0.5 = coord(1/2)
    0.009959949 = product of:
      0.019919898 = sum of:
        0.019919898 = weight(_text_:22 in 2603) [ClassicSimilarity], result of:
          0.019919898 = score(doc=2603,freq=2.0), product of:
            0.10297151 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.02940506 = queryNorm
            0.19345059 = fieldWeight in 2603, 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=2603)
      0.5 = coord(1/2)
  0.22222222 = coord(2/9)
    Abstract
    Purpose - This paper aims to report the result of follow-up research on end-users' conceptions of information visibility on the web and their conceptualizations of success and failure in web searching. Design/methodology/approach - The data were collected by a questionnaire followed by a brief interview with the participants. The questionnaire was developed based on the information visibility model suggested by the author in the original study. Fifty-two library and information sciences students from Tarbiat Mollem University (TMU) and Iran University of Medical Sciences (IUMS) in Tehran took part in the study. Findings - The model of information visibility can enable web users to gain a better understanding of their information seeking (IS) outcomes and it can assist them to improve their information literacy skills. The model can provide a theoretical framework to investigate web users' IS behavior and can be used as a diagnostic tool to explore the contextual and conceptual elements affecting the visibility of information for end-users. Research limitations/implications - The paper suggests a visibility learning diary (VLD), which might be useful to measure the efficiency of information literacy training courses. Originality/value - The contextual and conceptual approach of the paper provides a deeper insight into the issue of information visibility, which has received little attention by IS and information retrieval researchers until now.
    Date
    1. 1.2009 10:22:40
  4. Cothey, V.: ¬A longitudinal study of World Wide Web users' information-searching behavior (2002) 0.00 
    0.0035601775 = product of:
  0.032041598 = sum of:
    0.032041598 = product of:
      0.064083196 = sum of:
        0.064083196 = weight(_text_:web in 245) [ClassicSimilarity], result of:
          0.064083196 = score(doc=245,freq=14.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.6677857 = fieldWeight in 245, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=245)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
    Abstract
    A study of the "real world" Web information searching behavior of 206 college students over a 10-month period showed that, contrary to expectations, the users adopted a more passive or browsing approach to Web information searching and became more eclectic in their selection of Web hosts as they gained experience. The study used a longitudinal transaction log analysis of the URLs accessed during 5,431 user days of Web information searching to detect changes in information searching behavior associated with increased experience of using the Web. The findings have implications for the design of future Web information retrieval tools
  5. Branch, J.L.: Investigating the information-seeking process of adolescents : the value of using think alouds and think afters (2000) 0.00 
    0.0030986508 = product of:
  0.027887857 = sum of:
    0.027887857 = product of:
      0.055775713 = sum of:
        0.055775713 = weight(_text_:22 in 3924) [ClassicSimilarity], result of:
          0.055775713 = score(doc=3924,freq=2.0), product of:
            0.10297151 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.02940506 = queryNorm
            0.5416616 = fieldWeight in 3924, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.109375 = fieldNorm(doc=3924)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
    Source
    Library and information science research. 22(2000) no.4, S.371-382
  6. Colaric, S.M.: Instruction for Web searching : An empirical study (2003) 0.00 
    0.0030757042 = product of:
  0.027681338 = sum of:
    0.027681338 = product of:
      0.055362675 = sum of:
        0.055362675 = weight(_text_:web in 6333) [ClassicSimilarity], result of:
          0.055362675 = score(doc=6333,freq=2.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.5769126 = fieldWeight in 6333, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.125 = fieldNorm(doc=6333)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
  7. Hsieh-Yee, I.: Research on Web-search behavior (2001) 0.00 
    0.0030088993 = product of:
  0.027080093 = sum of:
    0.027080093 = product of:
      0.054160185 = sum of:
        0.054160185 = weight(_text_:web in 2277) [ClassicSimilarity], result of:
          0.054160185 = score(doc=2277,freq=10.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.5643819 = fieldWeight in 2277, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2277)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
    Abstract
    This article reviews studies, conducted between 1995 and 2000, on Web search behavior. These studies reported on children as well as on adults. Most of the studies on children described their interaction with the Web. Research on adult searchers focused on describing search patterns, and many studies investigated effects of selected factors on search behavior, including information organization and presentation, type of search task, Web experience, cognitive abilities, and affective states. What distinguishes the research on adult searchers is the use of multiple data-gathering methods. The research on Web search behavior reflects researchers' commitment to examine users in their information environment and exhibits rigor in design and data analysis. However, many studies lack external validity. Implications of this body of research are discussed.
  8. Spink, A.; Ozmutlu, H.C.; Ozmutlu, S.: Multitasking information seeking and searching processes (2002) 0.00 
    0.0027185641 = product of:
  0.024467077 = sum of:
    0.024467077 = product of:
      0.048934154 = sum of:
        0.048934154 = weight(_text_:web in 600) [ClassicSimilarity], result of:
          0.048934154 = score(doc=600,freq=16.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.5099235 = fieldWeight in 600, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=600)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
    Abstract
    Recent studies show that humans engage in multitasking behaviors as they seek and search information retrieval (IR) systems for information on more than one topic at the same time. For example, a Web search session by a single user may consist of searching on single topics or multitasking. Findings are presented from four separate studies of the prevalence of multitasking information seeking and searching by Web, IR system, and library users. Incidence of multitasking identified in the four different studies included: (1) users of the Excite Web search engine who completed a survey form, (2) Excite Web search engine users filtered from an Excite transaction log from 20 December 1999, (3) mediated on-line databases searches, and (4) academic library users. Findings include: (1) multitasking information seeking and searching is a common human behavior, (2) users may conduct information seeking and searching on related or unrelated topics, (3) Web or IR multitasking search sessions are longer than single topic sessions, (4) mean number of topics per Web search ranged of 1 to more than 10 topics with a mean of 2.11 topic changes per search session, and (4) many Web search topic changes were from hobbies to shopping and vice versa. A more complex model of human seeking and searching levels that incorporates multitasking information behaviors is presented, and a theoretical framework for human information coordinating behavior (HICB) is proposed. Multitasking information seeking and searching is developing as major research area that draws together IR and information seeking studies toward a focus on IR within the context of human information behavior. Implications for models of information seeking and searching, IR/Web systems design, and further research are discussed.
  9. Kellar, M.; Watters, C.; Shepherd, M.: ¬A field study characterizing Web-based information seeking tasks (2007) 0.00 
    0.0027185641 = product of:
  0.024467077 = sum of:
    0.024467077 = product of:
      0.048934154 = sum of:
        0.048934154 = weight(_text_:web in 335) [ClassicSimilarity], result of:
          0.048934154 = score(doc=335,freq=16.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.5099235 = fieldWeight in 335, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=335)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
    Abstract
    Previous studies have examined various aspects of user behavior on the Web, including general information-seeking patterns, search engine use, and revisitation habits. Little research has been conducted to study how users navigate and interact with their Web browser across different information-seeking tasks. We have conducted a field study of 21 participants, in which we logged detailed Web usage and asked participants to provide task categorizations of their Web usage based on the following categories: Fact Finding, Information Gathering, Browsing, and Transactions. We used implicit measures logged during each task session to provide usage measures such as dwell time, number of pages viewed, and the use of specific browser navigation mechanisms. We also report on differences in how participants interacted with their Web browser across the range of information-seeking tasks. Within each type of task, we found several distinguishing characteristics. In particular, Information Gathering tasks were the most complex; participants spent more time completing this task, viewed more pages, and used the Web browser functions most heavily during this task. The results of this analysis have been used to provide implications for future support of information seeking on the Web as well as direction for future research in this area.
  10. Thatcher, A.: Web search strategies : the influence of Web experience and task type (2008) 0.00 
    0.0027185641 = product of:
  0.024467077 = sum of:
    0.024467077 = product of:
      0.048934154 = sum of:
        0.048934154 = weight(_text_:web in 2095) [ClassicSimilarity], result of:
          0.048934154 = score(doc=2095,freq=16.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.5099235 = fieldWeight in 2095, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2095)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
    Abstract
    Despite a number of studies looking at Web experience and Web searching tactics and behaviours, the specific relationships between experience and cognitive search strategies have not been widely researched. This study investigates how the cognitive search strategies of 80 participants might vary with Web experience as they engaged in two researcher-defined tasks and two participant-defined information seeking tasks. Each of the two researcher-defined tasks and participant-defined tasks included a directed search task and a general-purpose browsing task. While there were almost no significant performance differences between experience levels on any of the four tasks, there were significant differences in the use of cognitive search strategies. Participants with higher levels of Web experience were more likely to use "Parallel player", "Parallel hub-and-spoke", "Known address search domain" and "Known address" strategies, whereas participants with lower levels of Web experience were more likely to use "Virtual tourist", "Link-dependent", "To-the-point", "Sequential player", "Search engine narrowing", and "Broad first" strategies. The patterns of use and differences between researcher-defined and participant-defined tasks and between directed search tasks and general-purpose browsing tasks are also discussed, although the distribution of search strategies by Web experience were not statistically significant for each individual task.
  11. Sugiura, A.; Etzioni, O.: Query routing for Web search engines : architecture and experiments (2000) 0.00 
    0.0026912412 = product of:
  0.02422117 = sum of:
    0.02422117 = product of:
      0.04844234 = sum of:
        0.04844234 = weight(_text_:web in 5009) [ClassicSimilarity], result of:
          0.04844234 = score(doc=5009,freq=2.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.50479853 = fieldWeight in 5009, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.109375 = fieldNorm(doc=5009)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
  12. Kim, K.-S.; Allen, B.: Cognitive and task influences on Web searching behavior (2002) 0.00 
    0.0026912412 = product of:
  0.02422117 = sum of:
    0.02422117 = product of:
      0.04844234 = sum of:
        0.04844234 = weight(_text_:web in 199) [ClassicSimilarity], result of:
          0.04844234 = score(doc=199,freq=8.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.50479853 = fieldWeight in 199, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=199)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
    Abstract
    Users' individual differences and tasks are important factors that influence the use of information systems. Two independent investigations were conducted to study the impact of differences in users' cognition and search tasks on Web search activities and outcomes. Strong task effects were found on search activities and outcomes, whereas interactions between cognitive and task variables were found on search activities only. These results imply that the flexibility of the Web and Web search engines allows different users to complete different search tasks successfully. However, the search techniques used and the efficiency of the searches appear to depend on how well the individual searcher fits with the specific task
  13. White, M.D.; Iivonen, M.: Questions as a factor in Web search strategy (2001) 0.00 
    0.0026912412 = product of:
  0.02422117 = sum of:
    0.02422117 = product of:
      0.04844234 = sum of:
        0.04844234 = weight(_text_:web in 333) [ClassicSimilarity], result of:
          0.04844234 = score(doc=333,freq=2.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.50479853 = fieldWeight in 333, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.109375 = fieldNorm(doc=333)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
  14. Kim, K.-S.: Effects of emotion control and task on Web searching behavior (2008) 0.00 
    0.0026912412 = product of:
  0.02422117 = sum of:
    0.02422117 = product of:
      0.04844234 = sum of:
        0.04844234 = weight(_text_:web in 891) [ClassicSimilarity], result of:
          0.04844234 = score(doc=891,freq=8.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.50479853 = fieldWeight in 891, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=891)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
    Abstract
    The study investigated how users' emotion control and search tasks interact and influence the Web search behavior and performance among experienced Web users. Sixty-seven undergraduate students with substantial Web experience participated in the study. Effects of emotion control and tasks were found significant on the search behavior but not on the search performance. The interaction effect between emotion control and tasks on the search behavior was also significant: effects of users' emotion control on the search behavior varied depending on search tasks. Profile analyses of search behaviors identified and contrasted the most commonly occurring profiles of search activities in different search tasks. Suggestions were made to improve information literacy programs, and implications for future research were discussed.
  15. Wolfram, D.: Search characteristics in different types of Web-based IR environments : are they the same? (2008) 0.00 
    0.0026912412 = product of:
  0.02422117 = sum of:
    0.02422117 = product of:
      0.04844234 = sum of:
        0.04844234 = weight(_text_:web in 2093) [ClassicSimilarity], result of:
          0.04844234 = score(doc=2093,freq=8.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.50479853 = fieldWeight in 2093, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2093)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
    Abstract
    Transaction logs from four different Web-based information retrieval environments (bibliographic databank, OPAC, search engine, specialized search system) were analyzed for empirical regularities in search characteristics to determine whether users engage in different behaviors in different Web-based search environments. Descriptive statistics and relative frequency distributions related to term usage, query formulation, and session duration were tabulated. The analysis revealed that there are differences in these characteristics. Users were more likely to engage in extensive searching using the OPAC and specialized search system. Surprisingly, the bibliographic databank search environment resulted in the most parsimonious searching, more similar to a general search engine. Although on the surface Web-based search facilities may appear similar, users do engage in different search behaviors.
  16. Jansen, B.J.; Booth, D.L.; Spink, A.: Determining the informational, navigational, and transactional intent of Web queries (2008) 0.00 
    0.0025790567 = product of:
  0.023211509 = sum of:
    0.023211509 = product of:
      0.046423018 = sum of:
        0.046423018 = weight(_text_:web in 2091) [ClassicSimilarity], result of:
          0.046423018 = score(doc=2091,freq=10.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.48375595 = fieldWeight in 2091, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=2091)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
    Abstract
    In this paper, we define and present a comprehensive classification of user intent for Web searching. The classification consists of three hierarchical levels of informational, navigational, and transactional intent. After deriving attributes of each, we then developed a software application that automatically classified queries using a Web search engine log of over a million and a half queries submitted by several hundred thousand users. Our findings show that more than 80% of Web queries are informational in nature, with about 10% each being navigational and transactional. In order to validate the accuracy of our algorithm, we manually coded 400 queries and compared the results from this manual classification to the results determined by the automated method. This comparison showed that the automatic classification has an accuracy of 74%. Of the remaining 25% of the queries, the user intent is vague or multi-faceted, pointing to the need for probabilistic classification. We discuss how search engines can use knowledge of user intent to provide more targeted and relevant results in Web searching.
  17. Zhang, Y.: ¬The influence of mental models on undergraduate students' searching behavior on the Web (2008) 0.00 
    0.0025790567 = product of:
  0.023211509 = sum of:
    0.023211509 = product of:
      0.046423018 = sum of:
        0.046423018 = weight(_text_:web in 2097) [ClassicSimilarity], result of:
          0.046423018 = score(doc=2097,freq=10.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.48375595 = fieldWeight in 2097, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=2097)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
    Abstract
    This article explores the effects of undergraduate students' mental models of the Web on their online searching behavior. Forty-four undergraduate students, mainly freshmen and sophomores, participated in the study. Subjects' mental models of the Web were treated as equally good styles and operationalized as drawings of their perceptions about the Web. Four types of mental models of the Web were identified based on the drawings and the associated descriptions: technical view, functional view, process view, and connection view. In the study, subjects were required to finish two search tasks. Searching behavior was measured from four aspects: navigation and performance, subjects' feelings about tasks and their own performances, query construction, and search patterns. The four mental model groups showed different navigation and querying behaviors, but the differences were not significant. Subjects' satisfaction with their own performances was found to be significantly correlated with the time to complete the task. The results also showed that the familiarity of the task to subjects had a major effect on their ways to start interaction, query construction, and search patterns.
  18. Pu, H.-T.; Chuang, S.-L.; Yang, C.: Subject categorization of query terms for exploring Web users' search interests (2002) 0.00 
    0.002542984 = product of:
  0.022886856 = sum of:
    0.022886856 = product of:
      0.04577371 = sum of:
        0.04577371 = weight(_text_:web in 587) [ClassicSimilarity], result of:
          0.04577371 = score(doc=587,freq=14.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.47698978 = fieldWeight in 587, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=587)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
    Abstract
    Subject content analysis of Web query terms is essential to understand Web searching interests. Such analysis includes exploring search topics and observing changes in their frequency distributions with time. To provide a basis for in-depth analysis of users' search interests on a larger scale, this article presents a query categorization approach to automatically classifying Web query terms into broad subject categories. Because a query is short in length and simple in structure, its intended subject(s) of search is difficult to judge. Our approach, therefore, combines the search processes of real-world search engines to obtain highly ranked Web documents based on each unknown query term. These documents are used to extract cooccurring terms and to create a feature set. An effective ranking function has also been developed to find the most appropriate categories. Three search engine logs in Taiwan were collected and tested. They contained over 5 million queries from different periods of time. The achieved performance is quite encouraging compared with that of human categorization. The experimental results demonstrate that the approach is efficient in dealing with large numbers of queries and adaptable to the dynamic Web environment. Through good integration of human and machine efforts, the frequency distributions of subject categories in response to changes in users' search interests can be systematically observed in real time. The approach has also shown potential for use in various information retrieval applications, and provides a basis for further Web searching studies.
  19. Spink, A.; Ozmultu, H.C.: Characteristics of question format web queries : an exploratory study (2002) 0.00 
    0.002542984 = product of:
  0.022886856 = sum of:
    0.022886856 = product of:
      0.04577371 = sum of:
        0.04577371 = weight(_text_:web in 3910) [ClassicSimilarity], result of:
          0.04577371 = score(doc=3910,freq=14.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.47698978 = fieldWeight in 3910, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3910)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
    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.
  20. Mansourian, I.: Web search efficacy : definition and implementation (2008) 0.00 
    0.002542984 = product of:
  0.022886856 = sum of:
    0.022886856 = product of:
      0.04577371 = sum of:
        0.04577371 = weight(_text_:web in 2565) [ClassicSimilarity], result of:
          0.04577371 = score(doc=2565,freq=14.0), product of:
            0.09596372 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.02940506 = queryNorm
            0.47698978 = fieldWeight in 2565, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2565)
      0.5 = coord(1/2)
  0.11111111 = coord(1/9)
    Abstract
    Purpose - This paper aims to report a number of factors that are perceived by web users as influential elements in their search procedure. The paper introduces a new conceptual measure called "web search efficacy" (hereafter WSE) to evaluate the performance of searches mainly based on users' perceptions. Design/methodology/approach - A rich dataset of a wider study was inductively re-explored to identify different categories that are perceived influential by web users on the final outcome of their searches. A selective review of the literature was carried out to discover to what extent previous research supports the findings of the current study. Findings - The analysis of the dataset led to the identification of five categories of influential factors. Within each group different factors have been recognized. Accordingly, the concept of WSE has been introduced. The five "Ss" which determine WSE are searcher's performance, search tool's performance, search strategy, search topic, and search situation. Research limitations/implications - The research body is scattered in different areas and it is difficult to carry out a comprehensive review. The WSE table, which is derived from the empirical data and was supported by previous research, can be employed for further research in various groups of web users. Originality/value - The paper contributes to the area of information seeking on the web by providing researchers with a new conceptual framework to evaluate the efficiency of each search session and identify the underlying factors on the final outcome of web searching.

Authors

Types

  • a 57
  • m 4
  • More… Less…

Themes

Subjects

Classifications