Search (46 results, page 1 of 3)

  • × theme_ss:"Suchtaktik"
  1. Hsieh-Yee, I.: Search tactics of Web users in searching for texts, graphics, known items and subjects : a search simulation study (1998) 0.07
    0.074862026 = product of:
      0.14972405 = sum of:
        0.13135578 = weight(_text_:graphic in 2404) [ClassicSimilarity], result of:
          0.13135578 = score(doc=2404,freq=2.0), product of:
            0.29924196 = queryWeight, product of:
              6.6217136 = idf(docFreq=159, maxDocs=44218)
              0.045191016 = queryNorm
            0.43896174 = fieldWeight in 2404, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              6.6217136 = idf(docFreq=159, maxDocs=44218)
              0.046875 = fieldNorm(doc=2404)
        0.018368276 = product of:
          0.03673655 = sum of:
            0.03673655 = weight(_text_:22 in 2404) [ClassicSimilarity], result of:
              0.03673655 = score(doc=2404,freq=2.0), product of:
                0.15825124 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045191016 = queryNorm
                0.23214069 = fieldWeight in 2404, 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=2404)
          0.5 = coord(1/2)
      0.5 = coord(2/4)
    
    Abstract
    Reports on a study of the search tactics used in searching the WWW and in dealing with difficulties such as too many postings and no relevant postings. Describes how the study was carried out, the analytical techniques used in it, and the results. Notes that with regard to tactics used to address search difficulties, no differences were found between searchers for texts and those for graphic information, and between those for known items and subject searches. Comments on the similarities and differences between the tactics used and and those used in online searching, including online catalogue searching
    Date
    25.12.1998 19:22:31
  2. Hopkins, M.E.; Zavalina, O.L.: Evaluating physicians' serendipitous knowledge discovery in online discovery systems : a new approach (2019) 0.02
    0.021920148 = product of:
      0.08768059 = sum of:
        0.08768059 = sum of:
          0.057066802 = weight(_text_:methods in 5842) [ClassicSimilarity], result of:
            0.057066802 = score(doc=5842,freq=4.0), product of:
              0.18168657 = queryWeight, product of:
                4.0204134 = idf(docFreq=2156, maxDocs=44218)
                0.045191016 = queryNorm
              0.31409478 = fieldWeight in 5842, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                4.0204134 = idf(docFreq=2156, maxDocs=44218)
                0.0390625 = fieldNorm(doc=5842)
          0.030613795 = weight(_text_:22 in 5842) [ClassicSimilarity], result of:
            0.030613795 = score(doc=5842,freq=2.0), product of:
              0.15825124 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.045191016 = queryNorm
              0.19345059 = fieldWeight in 5842, 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=5842)
      0.25 = coord(1/4)
    
    Abstract
    Purpose A new approach to investigate serendipitous knowledge discovery (SKD) of health information is developed and tested to evaluate the information flow-serendipitous knowledge discovery (IF-SKD) model. The purpose of this paper is to determine the degree to which IF-SKD reflects physicians' information behaviour in a clinical setting and explore how the information system, Spark, designed to support physicians' SKD, meets its goals. Design/methodology/approach The proposed pre-experimental study design employs an adapted version of the McCay-Peet's (2013) and McCay-Peet et al.'s (2015) serendipitous digital environment (SDE) questionnaire research tool to address the complexity associated with defining the way in which SKD is understood and applied in system design. To test the IF-SKD model, the new data analysis approach combining confirmatory factor analysis, data imputation and Monte Carlo simulations was developed. Findings The piloting of the proposed novel analysis approach demonstrated that small sample information behaviour survey data can be meaningfully examined using a confirmatory factor analysis technique. Research limitations/implications This method allows to improve the reliability in measuring SKD and the generalisability of findings. Originality/value This paper makes an original contribution to developing and refining methods and tools of research into information-system-supported serendipitous discovery of information by health providers.
    Date
    20. 1.2015 18:30:22
    Footnote
    Beitrag in einem Special Issue: Innovative Methods in Health Information Behaviour Research.
  3. Basch, R.: Secrets of the super searchers : planning search strategies (1993) 0.01
    0.014123313 = product of:
      0.056493253 = sum of:
        0.056493253 = product of:
          0.112986505 = sum of:
            0.112986505 = weight(_text_:methods in 6637) [ClassicSimilarity], result of:
              0.112986505 = score(doc=6637,freq=2.0), product of:
                0.18168657 = queryWeight, product of:
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.045191016 = queryNorm
                0.62187594 = fieldWeight in 6637, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.109375 = fieldNorm(doc=6637)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    Examines methods of formulating a search strategy from interviewing 23 expert searchers
  4. Morse, P.M.: Search theory and browsing (1970) 0.01
    0.012245518 = product of:
      0.048982073 = sum of:
        0.048982073 = product of:
          0.097964145 = sum of:
            0.097964145 = weight(_text_:22 in 1448) [ClassicSimilarity], result of:
              0.097964145 = score(doc=1448,freq=2.0), product of:
                0.15825124 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045191016 = queryNorm
                0.61904186 = fieldWeight in 1448, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.125 = fieldNorm(doc=1448)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Date
    22. 5.2005 19:53:09
  5. Morse, P.M.: Browsing and search theory (1973) 0.01
    0.010714828 = product of:
      0.042859312 = sum of:
        0.042859312 = product of:
          0.085718624 = sum of:
            0.085718624 = weight(_text_:22 in 3339) [ClassicSimilarity], result of:
              0.085718624 = score(doc=3339,freq=2.0), product of:
                0.15825124 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045191016 = queryNorm
                0.5416616 = fieldWeight in 3339, 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=3339)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Date
    22. 5.2005 19:52:29
  6. Branch, J.L.: Investigating the information-seeking process of adolescents : the value of using think alouds and think afters (2000) 0.01
    0.010714828 = product of:
      0.042859312 = sum of:
        0.042859312 = product of:
          0.085718624 = sum of:
            0.085718624 = weight(_text_:22 in 3924) [ClassicSimilarity], result of:
              0.085718624 = score(doc=3924,freq=2.0), product of:
                0.15825124 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045191016 = 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)
      0.25 = coord(1/4)
    
    Source
    Library and information science research. 22(2000) no.4, S.371-382
  7. Wildemuth, B.M.: ¬The effects of domain knowledge on search tactic formulation (2004) 0.01
    0.010483841 = product of:
      0.041935366 = sum of:
        0.041935366 = product of:
          0.08387073 = sum of:
            0.08387073 = weight(_text_:methods in 2221) [ClassicSimilarity], result of:
              0.08387073 = score(doc=2221,freq=6.0), product of:
                0.18168657 = queryWeight, product of:
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.045191016 = queryNorm
                0.4616232 = fieldWeight in 2221, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2221)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    A search tactic is a set of search moves that are temporally and semantically related. The current study examined the tactics of medical students searching a factual database in microbiology. The students answered problems and searched the database an three occasions over a 9-month period. Their search moves were analyzed in terms of the changes in search terms used from one cycle to the next, using two different analysis methods. Common patterns were found in the students' search tactics; the most common approach was the specification of a concept, followed by the addition of one or more concepts, gradually narrowing the retrieved set before it was displayed. It was also found that the search tactics changed over time as the students' domain knowledge changed. These results have important implications for designers in developing systems that will support users' preferred ways of formulating searches. In addition, the research methods used (the coding scheme and the two data analysis methods-zero-order state transition matrices and maximal repeating patterns [MRP] analysis) are discussed in terms of their validity in future studies of search tactics.
  8. Pejtersen, A.M.: Design of a classification scheme for fiction based on an analysis of actual user-librarian communication, and use of the scheme for control of librarians' search strategies (1980) 0.01
    0.0076534487 = product of:
      0.030613795 = sum of:
        0.030613795 = product of:
          0.06122759 = sum of:
            0.06122759 = weight(_text_:22 in 5835) [ClassicSimilarity], result of:
              0.06122759 = score(doc=5835,freq=2.0), product of:
                0.15825124 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045191016 = queryNorm
                0.38690117 = fieldWeight in 5835, 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=5835)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Date
    5. 8.2006 13:22:44
  9. Wang, Y.; Shah, C.: Authentic versus synthetic : an investigation of the influences of study settings and task configurations on search behaviors (2022) 0.01
    0.0071333502 = product of:
      0.028533401 = sum of:
        0.028533401 = product of:
          0.057066802 = sum of:
            0.057066802 = weight(_text_:methods in 495) [ClassicSimilarity], result of:
              0.057066802 = score(doc=495,freq=4.0), product of:
                0.18168657 = queryWeight, product of:
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.045191016 = queryNorm
                0.31409478 = fieldWeight in 495, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=495)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    In information seeking and retrieval research, researchers often collect data about users' behaviors to predict task characteristics and personalize information for users. The reliability of user behavior may be directly influenced by data collection methods. This article reports on a mixed-methods study examining the impact of study setting (laboratory setting vs. remote setting) and task authenticity (authentic task vs. simulated task) on users' online browsing and searching behaviors. Thirty-six undergraduate participants finished one lab session and one remote session in which they completed one authentic and one simulated task. Using log data collected from 144 task sessions, this study demonstrates that the synthetic lab study setting and simulated tasks had significant influences mostly on behaviors related to content pages (e.g., page dwell time, number of pages visited per task). Meanwhile, first-query behaviors were less affected by study settings or task authenticity than whole-session behaviors, indicating the reliability of using first-query behaviors in task prediction. Qualitative interviews reveal why users were influenced. This study addresses methodological limitations in existing research and provides new insights and implications for researchers who collect online user search behavioral data.
  10. McCrank, L.J.: Reference expertise : paradigms, strategies, and systems (1993) 0.01
    0.0070616566 = product of:
      0.028246626 = sum of:
        0.028246626 = product of:
          0.056493253 = sum of:
            0.056493253 = weight(_text_:methods in 7956) [ClassicSimilarity], result of:
              0.056493253 = score(doc=7956,freq=2.0), product of:
                0.18168657 = queryWeight, product of:
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.045191016 = queryNorm
                0.31093797 = fieldWeight in 7956, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=7956)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    Past trends in reference instruction, query analysis and proloferation of reference tools classed by primary functions into a general typology anticipated the use of paradigm logic, templates, search strategies, and systematic searching in applied Artificial Intelligence research and design of expert system, especially referral and decision-support systems. The approach, methodologies, and technique employed in basic reference and subject-area reference instruction in four graduate library schools, developed first at the University of Maryland after 1976, are reviewed. The advantages and limitations of the latter are discussed to suggest the interplay of personal service, manual tools, and computerized systems for holistic reference programs. Librarians' transition to the automated tools using AI methods might be improved by introducing paradigms, typologies, strategies, and a systems approach in reference instruction for professionals and more generally in bibliographic instruction
  11. Hsieh-Yee, I.: Research on Web-search behavior (2001) 0.01
    0.0070616566 = product of:
      0.028246626 = sum of:
        0.028246626 = product of:
          0.056493253 = sum of:
            0.056493253 = weight(_text_:methods in 2277) [ClassicSimilarity], result of:
              0.056493253 = score(doc=2277,freq=2.0), product of:
                0.18168657 = queryWeight, product of:
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.045191016 = queryNorm
                0.31093797 = fieldWeight in 2277, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=2277)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    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.
  12. Becker, N.J.: Google in perspective: : understanding and enhancing student search skills (2003) 0.01
    0.0060528484 = product of:
      0.024211394 = sum of:
        0.024211394 = product of:
          0.048422787 = sum of:
            0.048422787 = weight(_text_:methods in 2383) [ClassicSimilarity], result of:
              0.048422787 = score(doc=2383,freq=2.0), product of:
                0.18168657 = queryWeight, product of:
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.045191016 = queryNorm
                0.26651827 = fieldWeight in 2383, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2383)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    This paper desctibes a study of undergraduate student search behavlour, examines the results through the lens of various disciplines, and provides now insights that will increase our understanding and facilitate the development of mom effetive instructional programmes Perspectives and research results drawn from multiple disciplines are used to explore the role of mental modele, reference groups and habits, and IntelIectual development in the search behaviour demonstrated by the undergraduate students. During interviews conducted as part of the study, many students were able to articulate the importance of source evaluation and describe electronically-appropriate methods for assessing the authority and reliability of Weh based information resources. In practice, however, these students frequently abandoned source evaluation altogether and, following the path of Ieast resistance, relied exclusively on basic Google searching, This approach both compromiscd the quality of their search results and contributed to frustration with the research process. This may not be extraordinarily unusual behaviour, but it is cause for considerable concern among Information literacy programme planners and Instructors. Discussion of the study results and related research is followed by pragmatic suggestions for modifylng ineffective search behaviour through emhanced instructional programmes
  13. Rugg, G.; McGeorge, P.: Eliciting hierarchical knowledge structures : laddering (2002) 0.01
    0.0060528484 = product of:
      0.024211394 = sum of:
        0.024211394 = product of:
          0.048422787 = sum of:
            0.048422787 = weight(_text_:methods in 4252) [ClassicSimilarity], result of:
              0.048422787 = score(doc=4252,freq=2.0), product of:
                0.18168657 = queryWeight, product of:
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.045191016 = queryNorm
                0.26651827 = fieldWeight in 4252, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.046875 = fieldNorm(doc=4252)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    A frequent problem when dealing with system users or clients is clarifying what they want. Users may be doing things for reasons that are unclear, or may use terms that are vague, ambiguous, or subjective, making communication difficult. Laddering is a technique for eliciting information from people that is particularly useful for the sort of clarification described above. It can be used in several different and complementary ways; for instance, to elicit the respondent's goals, to elicit the respondent's categorization of an area, or to elicit explanations of terms used by the respondent. The technique is simple, quick, and efficient, and does not require anything more elaborate than paper and pen for recording the session. Laddering is widely used, though its simplicity means that it is usually used an an informal basis and has not received as much attention in the literature as more obviously complex methods such as repertory grids. It is also easy to automate, and automated versions can be used in a wide variety of contexts, ranging from query reformulation during online searching to full-scale elicitation tools.
  14. Foss, E.; Druin, A.; Yip, J.; Ford, W.; Golub, E.; Hutchinson, H.: Adolescent search roles (2013) 0.01
    0.0060528484 = product of:
      0.024211394 = sum of:
        0.024211394 = product of:
          0.048422787 = sum of:
            0.048422787 = weight(_text_:methods in 536) [ClassicSimilarity], result of:
              0.048422787 = score(doc=536,freq=2.0), product of:
                0.18168657 = queryWeight, product of:
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.045191016 = queryNorm
                0.26651827 = fieldWeight in 536, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.046875 = fieldNorm(doc=536)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    In this article, we present an in-home observation and in-context research study investigating how 38 adolescents aged 14-17 search on the Internet. We present the search trends adolescents display and develop a framework of search roles that these trends help define. We compare these trends and roles to similar trends and roles found in prior work with children ages 7, 9, and 11. We use these comparisons to make recommendations to adult stakeholders such as researchers, designers, and information literacy educators about the best ways to design search tools for children and adolescents, as well as how to use the framework of searching roles to find better methods of educating youth searchers. Major findings include the seven roles of adolescent searchers, and evidence that adolescents are social in their computer use, have a greater knowledge of sources than younger children, and that adolescents are less frustrated by searching tasks than younger children.
  15. Xie, I.; Joo, S.: Factors affecting the selection of search tactics : tasks, knowledge, process, and systems (2012) 0.01
    0.0060528484 = product of:
      0.024211394 = sum of:
        0.024211394 = product of:
          0.048422787 = sum of:
            0.048422787 = weight(_text_:methods in 2739) [ClassicSimilarity], result of:
              0.048422787 = score(doc=2739,freq=2.0), product of:
                0.18168657 = queryWeight, product of:
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.045191016 = queryNorm
                0.26651827 = fieldWeight in 2739, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2739)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    This study investigated whether and how different factors in relation to task, user-perceived knowledge, search process, and system affect users' search tactic selection. Thirty-one participants, representing the general public with their own tasks, were recruited for this study. Multiple methods were employed to collect data, including pre-questionnaire, verbal protocols, log analysis, diaries, and post-questionnaires. Statistical analysis revealed that seven factors were significantly associated with tactic selection. These factors consist of work task types, search task types, familiarity with topic, search skills, search session length, search phases, and system types. Moreover, the study also discovered, qualitatively, in what ways these factors influence the selection of search tactics. Based on the findings, the authors discuss practical implications for system design to support users' application of multiple search tactics for each factor.
  16. Wacholder, N.; Liu, L.: User preference : a measure of query-term quality (2006) 0.01
    0.0050440403 = product of:
      0.020176161 = sum of:
        0.020176161 = product of:
          0.040352322 = sum of:
            0.040352322 = weight(_text_:methods in 19) [ClassicSimilarity], result of:
              0.040352322 = score(doc=19,freq=2.0), product of:
                0.18168657 = queryWeight, product of:
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.045191016 = queryNorm
                0.22209854 = fieldWeight in 19, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=19)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    The goal of this research is to understand what characteristics, if any, lead users engaged in interactive information seeking to prefer certain sets of query terms. Underlying this work is the assumption that query terms that information seekers prefer induce a kind of cognitive efficiency: They require less mental effort to process and therefore reduce the energy required in the interactive information-seeking process. Conceptually, this work applies insights from linguistics and cognitive science to the study of query-term quality. We report on an experiment in which we compare user preference for three sets of terms; one had been preconstructed by a human indexer, and two were identified automatically. Twenty-four participants used a merged list of all terms to answer a carefully created set of questions. By design, the interface constrained users to access the text exclusively via the displayed list of query terms. We found that participants displayed a preference for the human-constructed set of terms eight times greater than the preference for either set of automatically identified terms. We speculate about reasons for this strong preference and discuss the implications for information access. The primary contributions of this research are (a) explication of the concept of user preference as a measure of queryterm quality and (b) identification of a replicable procedure for measuring preference for sets of query terms created by different methods, whether human or automatic. All other factors being equal, query terms that users prefer clearly are the best choice for real-world information-access systems.
  17. Kules, B.; Shneiderman, B.: Users can change their web search tactics : design guidelines for categorized overviews (2008) 0.01
    0.0050440403 = product of:
      0.020176161 = sum of:
        0.020176161 = product of:
          0.040352322 = sum of:
            0.040352322 = weight(_text_:methods in 2044) [ClassicSimilarity], result of:
              0.040352322 = score(doc=2044,freq=2.0), product of:
                0.18168657 = queryWeight, product of:
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.045191016 = queryNorm
                0.22209854 = fieldWeight in 2044, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2044)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    Categorized overviews of web search results are a promising way to support user exploration, understanding, and discovery. These search interfaces combine a metadata-based overview with the list of search results to enable a rich form of interaction. A study of 24 sophisticated users carrying out complex tasks suggests how searchers may adapt their search tactics when using categorized overviews. This mixed methods study evaluated categorized overviews of web search results organized into thematic, geographic, and government categories. Participants conducted four exploratory searches during a 2-hour session to generate ideas for newspaper articles about specified topics such as "human smuggling." Results showed that subjects explored deeper while feeling more organized, and that the categorized overview helped subjects better assess their results, although no significant differences were detected in the quality of the article ideas. A qualitative analysis of searcher comments identified seven tactics that participants reported adopting when using categorized overviews. This paper concludes by proposing a set of guidelines for the design of exploratory search interfaces. An understanding of the impact of categorized overviews on search tactics will be useful to web search researchers, search interface designers, information architects and web developers.
  18. Hyldegård, J.: Beyond the search process : exploring group members' information behavior in context (2009) 0.01
    0.0050440403 = product of:
      0.020176161 = sum of:
        0.020176161 = product of:
          0.040352322 = sum of:
            0.040352322 = weight(_text_:methods in 2458) [ClassicSimilarity], result of:
              0.040352322 = score(doc=2458,freq=2.0), product of:
                0.18168657 = queryWeight, product of:
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.045191016 = queryNorm
                0.22209854 = fieldWeight in 2458, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2458)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    This paper reports on the findings from a longitudinal case study exploring Kuhlthau's information search process (ISP)-model in a group based academic setting. The research focus is on group members' activities and cognitive and emotional experiences during the task process of writing an assignment. It is investigated if group members' information behavior differ from the individual information seeker in the ISP-model and to what extent this behavior is influenced by contextual (work task) and social (group work) factors. Three groups of LIS students were followed during a 14 weeks period in 2004/2005 (10 participants). Quantitative and qualitative methods were employed, such as demographic surveys, process surveys, diaries and interviews. Similarities in behavior were found between group members and the individual in Kuhlthau's ISP-model with regard to the general stages of information seeking, the cognitive pattern associated with focus formulation and the tendency towards an increase in writing activities while searching activities decreased. Differences in behavior were also found, which were associated with contextual and social factors beyond the mere search process. It is concluded that the ISP-model does not fully comply with group members' problem solving process and the involved information seeking behavior. Further, complex academic problem solving seems to be even more complex when it is performed in a group based setting. The study contributes with a new conceptual understanding of students' behavior in small groups.
  19. Zhang, J.; Wolfram, D.; Wang, P.: Analysis of query keywords of sports-related queries using visualization and clustering (2009) 0.01
    0.0050440403 = product of:
      0.020176161 = sum of:
        0.020176161 = product of:
          0.040352322 = sum of:
            0.040352322 = weight(_text_:methods in 2947) [ClassicSimilarity], result of:
              0.040352322 = score(doc=2947,freq=2.0), product of:
                0.18168657 = queryWeight, product of:
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.045191016 = queryNorm
                0.22209854 = fieldWeight in 2947, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2947)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    The authors investigated 11 sports-related query keywords extracted from a public search engine query log to better understand sports-related information seeking on the Internet. After the query log contents were cleaned and query data were parsed, popular sports-related keywords were identified, along with frequently co-occurring query terms associated with the identified keywords. Relationships among each sports-related focus keyword and its related keywords were characterized and grouped using multidimensional scaling (MDS) in combination with traditional hierarchical clustering methods. The two approaches were synthesized in a visual context by highlighting the results of the hierarchical clustering analysis in the visual MDS configuration. Important events, people, subjects, merchandise, and so on related to a sport were illustrated, and relationships among the sports were analyzed. A small-scale comparative study of sports searches with and without term assistance was conducted. Searches that used search term assistance by relying on previous query term relationships outperformed the searches without the search term assistance. The findings of this study provide insights into sports information seeking behavior on the Internet. The developed method also may be applied to other query log subject areas.
  20. Yuan, X.; Belkin, N.J.: Investigating information retrieval support techniques for different information-seeking strategies (2010) 0.01
    0.0050440403 = product of:
      0.020176161 = sum of:
        0.020176161 = product of:
          0.040352322 = sum of:
            0.040352322 = weight(_text_:methods in 3699) [ClassicSimilarity], result of:
              0.040352322 = score(doc=3699,freq=2.0), product of:
                0.18168657 = queryWeight, product of:
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.045191016 = queryNorm
                0.22209854 = fieldWeight in 3699, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.0204134 = idf(docFreq=2156, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3699)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    We report on a study that investigated the efficacy of four different interactive information retrieval (IIR) systems, each designed to support a specific information-seeking strategy (ISS). These systems were constructed using different combinations of IR techniques (i.e., combinations of different methods of representation, comparison, presentation and navigation), each of which was hypothesized to be well suited to support a specific ISS. We compared the performance of searchers in each such system, designated experimental, to an appropriate baseline system, which implemented the standard specified query and results list model of current state-of-the-art experimental and operational IR systems. Four within-subjects experiments were conducted for the purpose of this comparison. Results showed that each of the experimental systems was superior to its baseline system in supporting user performance for the specific ISS (that is, the information problem leading to that ISS) for which the system was designed. These results indicate that an IIR system, which intends to support more than one kind of ISS, should be designed within a framework which allows the use and combination of different IR support techniques for different ISSs.

Languages

  • e 45
  • d 1
  • More… Less…

Types

  • a 45
  • m 1
  • s 1
  • More… Less…