Search (15 results, page 1 of 1)

  • × author_ss:"Spink, A."
  1. Spink, A.; Wilson, T.; Ellis, D.; Ford, N.: Modeling users' successive searches in digital environments : a National Science Foundation/British Library funded study (1998) 0.11
    0.10620463 = product of:
      0.14160617 = sum of:
        0.07978866 = weight(_text_:digital in 1255) [ClassicSimilarity], result of:
          0.07978866 = score(doc=1255,freq=14.0), product of:
            0.19770671 = queryWeight, product of:
              3.944552 = idf(docFreq=2326, maxDocs=44218)
              0.050121464 = queryNorm
            0.40357083 = fieldWeight in 1255, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              3.944552 = idf(docFreq=2326, maxDocs=44218)
              0.02734375 = fieldNorm(doc=1255)
        0.02320939 = weight(_text_:library in 1255) [ClassicSimilarity], result of:
          0.02320939 = score(doc=1255,freq=6.0), product of:
            0.1317883 = queryWeight, product of:
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.050121464 = queryNorm
            0.17611115 = fieldWeight in 1255, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.02734375 = fieldNorm(doc=1255)
        0.03860812 = product of:
          0.07721624 = sum of:
            0.07721624 = weight(_text_:project in 1255) [ClassicSimilarity], result of:
              0.07721624 = score(doc=1255,freq=10.0), product of:
                0.21156175 = queryWeight, product of:
                  4.220981 = idf(docFreq=1764, maxDocs=44218)
                  0.050121464 = queryNorm
                0.36498204 = fieldWeight in 1255, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  4.220981 = idf(docFreq=1764, maxDocs=44218)
                  0.02734375 = fieldNorm(doc=1255)
          0.5 = coord(1/2)
      0.75 = coord(3/4)
    
    Abstract
    As digital libraries become a major source of information for many people, we need to know more about how people seek and retrieve information in digital environments. Quite commonly, users with a problem-at-hand and associated question-in-mind repeatedly search a literature for answers, and seek information in stages over extended periods from a variety of digital information resources. The process of repeatedly searching over time in relation to a specific, but possibly an evolving information problem (including changes or shifts in a variety of variables), is called the successive search phenomenon. The study outlined in this paper is currently investigating this new and little explored line of inquiry for information retrieval, Web searching, and digital libraries. The purpose of the research project is to investigate the nature, manifestations, and behavior of successive searching by users in digital environments, and to derive criteria for use in the design of information retrieval interfaces and systems supporting successive searching behavior. This study includes two related projects. The first project is based in the School of Library and Information Sciences at the University of North Texas and is funded by a National Science Foundation POWRE Grant <http://www.nsf.gov/cgi-bin/show?award=9753277>. The second project is based at the Department of Information Studies at the University of Sheffield (UK) and is funded by a grant from the British Library <http://www.shef. ac.uk/~is/research/imrg/uncerty.html> Research and Innovation Center. The broad objectives of each project are to examine the nature and extent of successive search episodes in digital environments by real users over time. The specific aim of the current project is twofold: * To characterize progressive changes and shifts that occur in: user situational context; user information problem; uncertainty reduction; user cognitive styles; cognitive and affective states of the user, and consequently in their queries; and * To characterize related changes over time in the type and use of information resources and search strategies particularly related to given capabilities of IR systems, and IR search engines, and examine changes in users' relevance judgments and criteria, and characterize their differences. The study is an observational, longitudinal data collection in the U.S. and U.K. Three questionnaires are used to collect data: reference, client post search and searcher post search questionnaires. Each successive search episode with a search intermediary for textual materials on the DIALOG Information Service is audiotaped and search transaction logs are recorded. Quantitative analysis includes statistical analysis using Likert scale data from the questionnaires and log-linear analysis of sequential data. Qualitative methods include: content analysis, structuring taxonomies; and diagrams to describe shifts and transitions within and between each search episode. Outcomes of the study are the development of appropriate model(s) for IR interactions in successive search episodes and the derivation of a set of design criteria for interfaces and systems supporting successive searching.
  2. Spink, A.; Beatty, L.: Multiple search sessions by end-users of online catalogs and CD-ROM databases (1995) 0.03
    0.03241531 = product of:
      0.06483062 = sum of:
        0.022971334 = weight(_text_:library in 3877) [ClassicSimilarity], result of:
          0.022971334 = score(doc=3877,freq=2.0), product of:
            0.1317883 = queryWeight, product of:
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.050121464 = queryNorm
            0.17430481 = fieldWeight in 3877, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.046875 = fieldNorm(doc=3877)
        0.041859288 = product of:
          0.083718576 = sum of:
            0.083718576 = weight(_text_:project in 3877) [ClassicSimilarity], result of:
              0.083718576 = score(doc=3877,freq=4.0), product of:
                0.21156175 = queryWeight, product of:
                  4.220981 = idf(docFreq=1764, maxDocs=44218)
                  0.050121464 = queryNorm
                0.39571697 = fieldWeight in 3877, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  4.220981 = idf(docFreq=1764, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3877)
          0.5 = coord(1/2)
      0.5 = coord(2/4)
    
    Abstract
    Reports from a study investigating the extent to which academic end users conduct multiple search sessions, over time woth OPAC or CD-ROM databases at different stages of their information seeking related to a current research project. Interviews were conducted using a questionnaire with 200 academic end users at Rutgers University Alexander Library, NJ and University of North Texas, to investigate the occurrence of multiple search sessions. Results show that at the time of the survey interview, 57% of end users had conducted multiple search sessions during their research project and 86% of end users conducted their 1st search session at the beginning stage of their information seeking process. 49% of end users had conducted between 1 and 6 search sessions and 8% more than 6 search sessions. 70% of multiple search sessionss end users had modified their search terms since their 1st search session. Discusses the implications of the findings for end user training, information retrieval systems design and further research
  3. Spink, A.; Cole, C.: New directions in cognitive information retrieval : introduction (2005) 0.02
    0.024889842 = product of:
      0.049779683 = sum of:
        0.034465462 = weight(_text_:digital in 647) [ClassicSimilarity], result of:
          0.034465462 = score(doc=647,freq=2.0), product of:
            0.19770671 = queryWeight, product of:
              3.944552 = idf(docFreq=2326, maxDocs=44218)
              0.050121464 = queryNorm
            0.17432621 = fieldWeight in 647, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.944552 = idf(docFreq=2326, maxDocs=44218)
              0.03125 = fieldNorm(doc=647)
        0.015314223 = weight(_text_:library in 647) [ClassicSimilarity], result of:
          0.015314223 = score(doc=647,freq=2.0), product of:
            0.1317883 = queryWeight, product of:
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.050121464 = queryNorm
            0.11620321 = fieldWeight in 647, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.03125 = fieldNorm(doc=647)
      0.5 = coord(2/4)
    
    Abstract
    Humans have used electronic information retrieval (IR) systems for more than 50 years as they evolved from experimental systems to full-scale Web search engines and digital libraries. The fields of library and information science (LIS), cognitive science, human factors and computer science have historically been the leading disciplines in conducting research that seeks to model human interaction with IR systems for all kinds of information related behaviors. As technology problems have been mastered, the theoretical and applied framework for studying human interaction with IR systems has evolved from systems-centered to more user-centered, or cognitive-centered approaches. However, cognitive information retrieval (CIR) research that focuses on user interaction with IR systems is still largely under-funded and is often not included at computing and systems design oriented conferences. But CIR-focused research continues, and there are signs that some IR systems designers in academia and the Web search business are realizing that user behavior research can provide valuable insights into systems design and evaluation. The goal of our book is to provide an overview of new CIR research directions. This book does not provide a history of the research field of CIR. Instead, the book confronts new ways of looking at the human information condition with regard to our increasing need to interact with IR systems. The need has grown due to a number of factors, including the increased importance of information to more people in this information age. Also, IR was once considered document-oriented, but has now evolved to include multimedia, text, and other information objects. As a result, IR systems and their complexity have proliferated as users and user purposes for using them have also proliferated. Human interaction with IR systems can often be frustrating as people often lack an understanding of IR system functionality.
  4. Spink, A.: Multitasking information behavior and information task switching : an exploratory study (2004) 0.02
    0.015194111 = product of:
      0.060776442 = sum of:
        0.060776442 = weight(_text_:library in 4426) [ClassicSimilarity], result of:
          0.060776442 = score(doc=4426,freq=14.0), product of:
            0.1317883 = queryWeight, product of:
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.050121464 = queryNorm
            0.46116722 = fieldWeight in 4426, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.046875 = fieldNorm(doc=4426)
      0.25 = coord(1/4)
    
    Abstract
    Recent studies show that humans engage in multitasking information behaviors, often in libraries, as they seek and search for information on more than one information task. Multitasking information behaviors may consist of library search and use behaviors, or database or Web search sessions on multiple information tasks. However, few human information behavior models of seeking, searching or use, or library use models, include considerations of multitasking information behavior. This paper reports results from a case study exploring multitasking information behavior by an information seeker in a public library using diary, observation and interview data collection techniques. The information seeker sought information on four unrelated personal information tasks during two public library visits. Findings include a taxonomy of information behaviors; a sequential flowchart of the information seeker's complex and iterative processes, including multitasking information behavior, electronic searches, physical library searches, serendipitous browsing, and successive searches; and that the information seeker engaged in a process of 17 information task switches over two library visits. A model of information multitasking and information task switching is presented. Implications for library services and bibliographic instruction are also discussed.
  5. Spink, A.; Bray, K.E.; Jaeckel, M.; Sidberry, G.: Everyday life information-seeking by low-income African American households : Wynnewood Healthy Neighbourhood Project (1999) 0.01
    0.0137886135 = product of:
      0.055154454 = sum of:
        0.055154454 = product of:
          0.11030891 = sum of:
            0.11030891 = weight(_text_:project in 282) [ClassicSimilarity], result of:
              0.11030891 = score(doc=282,freq=10.0), product of:
                0.21156175 = queryWeight, product of:
                  4.220981 = idf(docFreq=1764, maxDocs=44218)
                  0.050121464 = queryNorm
                0.5214029 = fieldWeight in 282, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  4.220981 = idf(docFreq=1764, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=282)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    This paper reports findings from Phase I of the Wynnewood Study - a major project investigating the information-seeking and information needs of lowincome African-American households in the Wynnewood Project in Dallas, Texas. The Parks at Wynnewood is a residential housing development at which the University of North Texas (UNT) is currently conducting the Healthy Neighbourhoods urban revitalization project. This study is also part of the second phase of a major UNT project that is investigating the community service needs of the Wynnewood residents. During this needs assessment all Wynnewood households were interviewed using an extensive twelve-page questionnaire, including a number of questions on their information needs and information-seeking behaviour. The results of the survey provide data bearing on the development of an information resource center and an information literacy programme for Wynnewood community residents. A model of resident's information environment is presented. The study of information-seeking and information needs, also known as nonwork information-seeking or citizen information-seeking, is an important and emerging area of interdisciplinary information science research. More specifically, this study is providing important data on the everyday life information needs and seeking behaviours of low-income African Americans households.
  6. Spink, A.: Multiple search sessions model of end-user behaviour : an exploratory study (1996) 0.01
    0.009866329 = product of:
      0.039465316 = sum of:
        0.039465316 = product of:
          0.07893063 = sum of:
            0.07893063 = weight(_text_:project in 5805) [ClassicSimilarity], result of:
              0.07893063 = score(doc=5805,freq=2.0), product of:
                0.21156175 = queryWeight, product of:
                  4.220981 = idf(docFreq=1764, maxDocs=44218)
                  0.050121464 = queryNorm
                0.37308553 = fieldWeight in 5805, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.220981 = idf(docFreq=1764, maxDocs=44218)
                  0.0625 = fieldNorm(doc=5805)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    Discusses a multiple search session model of end users' interaction with information retrieval systems based on results from an exploratory study investigating end users' search sessions over time with OPACs or CD-ROM databases at different stages of their information seeking related to a current research project. Interviews were conducted with 200 academic end users to investigate the occurrence of multiple search sessions
  7. Goodrum, A.; Spink, A.: Visual information seeking : a study of image queries on the world wide web (1999) 0.01
    0.0086163655 = product of:
      0.034465462 = sum of:
        0.034465462 = weight(_text_:digital in 6678) [ClassicSimilarity], result of:
          0.034465462 = score(doc=6678,freq=2.0), product of:
            0.19770671 = queryWeight, product of:
              3.944552 = idf(docFreq=2326, maxDocs=44218)
              0.050121464 = queryNorm
            0.17432621 = fieldWeight in 6678, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.944552 = idf(docFreq=2326, maxDocs=44218)
              0.03125 = fieldNorm(doc=6678)
      0.25 = coord(1/4)
    
    Abstract
    A growing body of research is beginning to explore the information-seeking behavior of Web users. The vast majority of these studies have concentrated on the area of textual information retrieval (IR). Little research has examined how people search for non-textual information on the Internet, and few large-scale studies have investigated visual information-seeking behavior with Web search engines. This study examined visual information needs as expressed in users' Web image queries. The data set examined consisted of 1,025,908 sequential queries from 211,058 users of EXCITE, a major Internet search service. Twenty-eight (28) terms were used to identify queries for both still and moving images, resulting in a subset of 33,149 image queries by 9,855 users. We provide data on: (1) image queries -- the number of queries and the number of search terms per user, (2) image search sessions -- the number of queries per user, modifications made to subsequent queries in a session, and (3) image terms -- their rank/frequency distribution and the most highly used search terms. On average, there were 3. 36 image queries per user containing an average of 3.74 terms per query. Image queries contained a large number of unique terms. The most frequently occurring image related terms appeared less than 10 percent of the time, with most terms occurring only once. This analysis is contrasted to earlier work by Enser (1995) who examined written queries for pictorial information in a non-digital environment. Implications for the development of models for visual information retrieval, and for the design of Web search engines are discussed
  8. Spink, A.; Wilson, T.D.; Ford, N.; Foster, A.; Ellis, D.: Information seeking and mediated searching : Part 1: theoretical framework and research design (2002) 0.01
    0.0073997467 = product of:
      0.029598987 = sum of:
        0.029598987 = product of:
          0.059197973 = sum of:
            0.059197973 = weight(_text_:project in 5240) [ClassicSimilarity], result of:
              0.059197973 = score(doc=5240,freq=2.0), product of:
                0.21156175 = queryWeight, product of:
                  4.220981 = idf(docFreq=1764, maxDocs=44218)
                  0.050121464 = queryNorm
                0.27981415 = fieldWeight in 5240, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.220981 = idf(docFreq=1764, maxDocs=44218)
                  0.046875 = fieldNorm(doc=5240)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    In this issue we begin with the first of four parts of a five part series of papers by Spink, Wilson, Ford, Foster, and Ellis. Spink, et alia, in the first section of this report set forth the design of a project to test whether existing models of the information search process are appropriate for an environment of mediated successive searching which they believe characterizes much information seeking behavior. Their goal is to develop an integrated model of the process. Data were collected from 198 individuals, 87 in Texas and 111 in Sheffield in the U.K., with individuals with real information needs engaged in interaction with operational information retrieval systems by use of transaction logs, recordings of interactions with intermediaries, pre, and post search interviews, questionnaire responses, relevance judgments of retrieved text, and responses to a test of cognitive styles. Questionnaires were based upon the Kuhlthau model, the Saracevic model, the Ellis model, and incorporated a visual analog scale to avoid a consistency bias.
  9. Spink, A.; Ozmutlu, H.C.; Ozmutlu, S.: Multitasking information seeking and searching processes (2002) 0.01
    0.0067679947 = product of:
      0.027071979 = sum of:
        0.027071979 = weight(_text_:library in 600) [ClassicSimilarity], result of:
          0.027071979 = score(doc=600,freq=4.0), product of:
            0.1317883 = queryWeight, product of:
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.050121464 = queryNorm
            0.2054202 = fieldWeight in 600, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.0390625 = fieldNorm(doc=600)
      0.25 = coord(1/4)
    
    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.
  10. Spink, A.; Cole, C.: ¬A human information behavior approach to a philosophy of information (2004) 0.01
    0.006699973 = product of:
      0.026799891 = sum of:
        0.026799891 = weight(_text_:library in 837) [ClassicSimilarity], result of:
          0.026799891 = score(doc=837,freq=2.0), product of:
            0.1317883 = queryWeight, product of:
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.050121464 = queryNorm
            0.20335563 = fieldWeight in 837, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.0546875 = fieldNorm(doc=837)
      0.25 = coord(1/4)
    
    Source
    Library trends. 52(2004) no.3, S.617-628
  11. Spink, A.: Web search : emerging patterns (2004) 0.01
    0.0057428335 = product of:
      0.022971334 = sum of:
        0.022971334 = weight(_text_:library in 23) [ClassicSimilarity], result of:
          0.022971334 = score(doc=23,freq=2.0), product of:
            0.1317883 = queryWeight, product of:
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.050121464 = queryNorm
            0.17430481 = fieldWeight in 23, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.046875 = fieldNorm(doc=23)
      0.25 = coord(1/4)
    
    Source
    Library trends. 52(2004) no.2, S.299-306
  12. Spink, A.: Information behavior : an evolutionary instinct (2010) 0.01
    0.0054143956 = product of:
      0.021657582 = sum of:
        0.021657582 = weight(_text_:library in 4313) [ClassicSimilarity], result of:
          0.021657582 = score(doc=4313,freq=4.0), product of:
            0.1317883 = queryWeight, product of:
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.050121464 = queryNorm
            0.16433616 = fieldWeight in 4313, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.03125 = fieldNorm(doc=4313)
      0.25 = coord(1/4)
    
    LCSH
    Library science
    Subject
    Library science
  13. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.01
    0.005093075 = product of:
      0.0203723 = sum of:
        0.0203723 = product of:
          0.0407446 = sum of:
            0.0407446 = weight(_text_:22 in 2742) [ClassicSimilarity], result of:
              0.0407446 = score(doc=2742,freq=2.0), product of:
                0.17551683 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.050121464 = queryNorm
                0.23214069 = fieldWeight in 2742, 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=2742)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Date
    22. 3.2009 17:49:11
  14. Reneker, M.; Jacobson, A.; Wargo, L.; Spink, A.: Information environment of a military university campus : an exploratory study (1999) 0.00
    0.0038285558 = product of:
      0.015314223 = sum of:
        0.015314223 = weight(_text_:library in 6704) [ClassicSimilarity], result of:
          0.015314223 = score(doc=6704,freq=2.0), product of:
            0.1317883 = queryWeight, product of:
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.050121464 = queryNorm
            0.11620321 = fieldWeight in 6704, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.6293786 = idf(docFreq=8668, maxDocs=44218)
              0.03125 = fieldNorm(doc=6704)
      0.25 = coord(1/4)
    
    Abstract
    The Naval Postgraduate School (NPS) is a military university educating officers from the United States and 40 foreign countries. To investigate the NPS information environment a large study obtained data on the range of information needs and behaviors of NPS personnel. The specific aim of the study was to supply organizational units with qualitative data specific to their client base, enabling them to improve campus systems and information services. Facilitators from the NPS Organizational Support Division conducted eighteen (18) focus groups during Spring Quarter 1998. Transcribed focus group sessions were analyzed using NUDIST software to identify key issues and results emerging from the data set. Categories of participants' information needs were identified, including an analysis of key information issues across the NPS campus. Use of Internet resources, other trusted individuals, and electronic indexes and abstracts ranked high among information sources used by NPS personnel. A picture emerges of a campus information environment poorly understood by the academic community. The three groups (students, staff and faculty) articulated different concerns and look to different sources to satisfy their information needs. Participants' information seeking problems centered on: (1) housing, registration and scheduling, computing and the quality of information available on the campus computer network, (2) an inability to easily disseminate information quickly to an appropriate campus audience, and (3) training in new information access technologies, and (4) the general lack of awareness of library resources and services. The paper discusses a method for more effectively disseminating information throughout the campus. Implications for the development of information seeking models and a model of the NPS information environment are discussed
  15. Spink, A.; Cole, C.: ¬A multitasking framework for cognitive information retrieval (2005) 0.00
    0.0033953832 = product of:
      0.013581533 = sum of:
        0.013581533 = product of:
          0.027163066 = sum of:
            0.027163066 = weight(_text_:22 in 642) [ClassicSimilarity], result of:
              0.027163066 = score(doc=642,freq=2.0), product of:
                0.17551683 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.050121464 = queryNorm
                0.15476047 = fieldWeight in 642, 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=642)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Date
    19. 1.2007 12:55:22