Search (8 results, page 1 of 1)

  • × author_ss:"Xie, I."
  1. Xie, I.; Matusiak, K.M.: Discover digital libraries : theory and practice (2016) 0.01
    0.009141216 = product of:
      0.018282432 = sum of:
        0.018282432 = product of:
          0.036564864 = sum of:
            0.036564864 = weight(_text_:retrieval in 3970) [ClassicSimilarity], result of:
              0.036564864 = score(doc=3970,freq=6.0), product of:
                0.15791564 = queryWeight, product of:
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.052204985 = queryNorm
                0.23154683 = fieldWeight in 3970, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.03125 = fieldNorm(doc=3970)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Discover Digital Libraries: Theory and Practice is a book that integrates both research and practice concerning digital library development, use, preservation, and evaluation. The combination of current research and practical guidelines is a unique strength of this book. The authors bring in-depth expertise on different digital library issues and synthesize theoretical and practical perspectives relevant to researchers, practitioners, and students. The book presents a comprehensive overview of the different approaches and tools for digital library development, including discussions of the social and legal issues associated with digital libraries. Readers will find current research and the best practices of digital libraries, providing both US and international perspectives on the development of digital libraries and their components, including collection, digitization, metadata, interface design, sustainability, preservation, retrieval, and evaluation of digital libraries.
    Content
    Introduction to digital libraries - Digital library initiatives and international projects - Collection development - Techniques and technologies for multimedia storage and retrieval - Digitization - Knowledge representation and organization - Digital Library Content Management Systems - Interface design and evaluation - Sustainability and preservation - User needs and information retrieval - Evaluation of digital libraries - Impact, challenges, and trends for the future
  2. Xie, I.; Cool, C.: Understanding help seeking within the context of searching digital libraries (2009) 0.01
    0.008841318 = product of:
      0.017682636 = sum of:
        0.017682636 = product of:
          0.035365272 = sum of:
            0.035365272 = weight(_text_:22 in 2737) [ClassicSimilarity], result of:
              0.035365272 = score(doc=2737,freq=2.0), product of:
                0.18281296 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052204985 = queryNorm
                0.19345059 = fieldWeight in 2737, 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=2737)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    22. 3.2009 12:49:20
  3. Xie, I.: Information searching and search models (2009) 0.01
    0.007916525 = product of:
      0.01583305 = sum of:
        0.01583305 = product of:
          0.0316661 = sum of:
            0.0316661 = weight(_text_:retrieval in 3821) [ClassicSimilarity], result of:
              0.0316661 = score(doc=3821,freq=2.0), product of:
                0.15791564 = queryWeight, product of:
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.052204985 = queryNorm
                0.20052543 = fieldWeight in 3821, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3821)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Key terms related to information searching and search models are defined. A historic context is provided to illustrate the evolution of the four main digital environments that users interact with in their search process to offer readers background information regarding the transition from manual information systems to computer-based information retrieval (IR) systems, as well as the transition from intermediary searching to end-user searching. Emphasis is placed on the review of different levels of information searching from search tactics/moves, search strategies, and usage patterns, to search models and associated factors in relation to task, user knowledge structure, IR system design, and social-organization context. Search models are further classified into two types, with one type illustrating information search process (ISP) and the other type emphasizing the factors that influence the process. In addition, unsolved problems and future research are discussed and suggested.
  4. Lin, S.; Xie, I.: Behavioral changes in transmuting multisession successive searches over the web (2013) 0.01
    0.007916525 = product of:
      0.01583305 = sum of:
        0.01583305 = product of:
          0.0316661 = sum of:
            0.0316661 = weight(_text_:retrieval in 959) [ClassicSimilarity], result of:
              0.0316661 = score(doc=959,freq=2.0), product of:
                0.15791564 = queryWeight, product of:
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.052204985 = queryNorm
                0.20052543 = fieldWeight in 959, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.046875 = fieldNorm(doc=959)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Multisession successive information searches are common but little research has focused on quantitative analysis. This article enhances our understanding of successive information searches by employing an experimental method to observe whether and how the behavioral characteristics of searchers statistically significantly changed over sessions. It focuses on a specific type of successive search called transmuting successive searches, in which searchers learn about and gradually refine their information problems during the course of the information search. The results show that searchers' behavioral characteristics indeed exhibit different patterns in different sessions. The identification of the behavioral characteristics can help information retrieval systems to detect stages or sessions of the information search process. The findings also help validate a theoretical framework to explain successive searches and suggest system requirements for supporting the associated search behavior. The study is one of the first to not only test for statistical significance among research propositions concerning successive searches but to also apply the research principles of implicit relevance feedback to successive searches.
  5. Xie, I.: Dimensions of tasks : influences on information-seeking and retrieving process (2009) 0.01
    0.0065971045 = product of:
      0.013194209 = sum of:
        0.013194209 = product of:
          0.026388418 = sum of:
            0.026388418 = weight(_text_:retrieval in 2839) [ClassicSimilarity], result of:
              0.026388418 = score(doc=2839,freq=2.0), product of:
                0.15791564 = queryWeight, product of:
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.052204985 = queryNorm
                0.16710453 = fieldWeight in 2839, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2839)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Purpose - Previous research has demonstrated that task is the driving force for information retrieval (IR). However, few studies investigate how people engaged in work and search tasks define their decisions and behaviors in the IR process. The purpose of this paper is to investigate how dimensions of tasks affect the information-seeking and retrieving process. Design/methodology/approach - In total, 40 participants are recruited for the two studies conducted in a corporate setting as well as an academic setting. Multiple methods are applied to collect data related to participants' tasks and the information-seeking and retrieving process: web surveys, questionnaires, diaries, and telephone interviews. Both qualitative and quantitative data are analyzed. Findings - This paper identifies nature (routine, typical, and unusual), stages (pre-focus, formation, and post-focus), and timeframe (extremely urgent, urgent, and non-urgent) as dimensions of work tasks as well as origination (self-generated and assigned), types (updating information, looking for specific information, looking for items with common characteristics, and looking for known items), and flexibility (very flexible, flexible, and inflexible) as dimensions of search tasks. Moreover, the relationships between dimensions of work and search tasks and the information-seeking process - in particular, the extent of planning, the application of different types of information-seeking strategies, and shifts in search-task-related goals - are explored. Originality/value - This paper fills in a gap in current research - the impact of dimensions of task on the information-seeking and -retrieving process.
  6. Xie, I.; Joo, S.: Transitions in search tactics during the Web-based search process (2010) 0.01
    0.0065971045 = product of:
      0.013194209 = sum of:
        0.013194209 = product of:
          0.026388418 = sum of:
            0.026388418 = weight(_text_:retrieval in 4097) [ClassicSimilarity], result of:
              0.026388418 = score(doc=4097,freq=2.0), product of:
                0.15791564 = queryWeight, product of:
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.052204985 = queryNorm
                0.16710453 = fieldWeight in 4097, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4097)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Although many studies have identified search tactics, few studies have explored tactic transitions. This study investigated the transitions of search tactics during the Web-based search process. Bringing their own 60 search tasks, 31 participants, representing the general public with different demographic characteristics, participated in the study. Data collected from search logs and verbal protocols were analyzed by applying both qualitative and quantitative methods. The findings of this study show that participants exhibited some unique Web search tactics. They overwhelmingly employed accessing and evaluating tactics; they used fewer tactics related to modifying search statements, monitoring the search process, organizing search results, and learning system features. The contributing factors behind applying most and least frequently employed search tactics are in relation to users' efforts, trust in information retrieval (IR) systems, preference, experience, and knowledge as well as limitation of the system design. A matrix of search-tactic transitions was created to show the probabilities of transitions from one tactic to another. By applying fifth-order Markov chain, the results also presented the most common search strategies representing patterns of tactic transition occurring at the beginning, middle, and ending phases within one search session. The results of this study generated detailed and useful guidance for IR system design to support the most frequently applied tactics and transitions, to reduce unnecessary transitions, and support transitions at different phases.
  7. Xie, I.; Joo, S.; Bennett-Kapusniak, R.: User involvement and system support in applying search tactics (2017) 0.01
    0.0065971045 = product of:
      0.013194209 = sum of:
        0.013194209 = product of:
          0.026388418 = sum of:
            0.026388418 = weight(_text_:retrieval in 3594) [ClassicSimilarity], result of:
              0.026388418 = score(doc=3594,freq=2.0), product of:
                0.15791564 = queryWeight, product of:
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.052204985 = queryNorm
                0.16710453 = fieldWeight in 3594, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3594)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Both user involvement and system support play important roles in applying search tactics. To apply search tactics in the information retrieval (IR) processes, users make decisions and take actions in the search process, while IR systems assist them by providing different system features. After analyzing 61 participants' information searching diaries and questionnaires we identified various types of user involvement and system support in applying different types of search tactics. Based on quantitative analysis, search tactics were classified into 3 groups: user-dominated, system-dominated, and balanced tactics. We further explored types of user involvement and types of system support in applying search tactics from the 3 groups. The findings show that users and systems play major roles in applying user-dominated and system-dominated tactics, respectively. When applying balanced tactics, users and systems must collaborate closely with each other. In this article, we propose a model that illustrates user involvement and system support as they occur in user-dominated tactics, system-dominated tactics, and balanced tactics. Most important, IR system design implications are discussed to facilitate effective and efficient applications of the 3 groups of search tactics.
  8. Xie, I.; Babu, R.; Lee, H.S.; Wang, S.; Lee, T.H.: Orientation tactics and associated factors in the digital library environment : comparison between blind and sighted users (2021) 0.01
    0.0065971045 = product of:
      0.013194209 = sum of:
        0.013194209 = product of:
          0.026388418 = sum of:
            0.026388418 = weight(_text_:retrieval in 307) [ClassicSimilarity], result of:
              0.026388418 = score(doc=307,freq=2.0), product of:
                0.15791564 = queryWeight, product of:
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.052204985 = queryNorm
                0.16710453 = fieldWeight in 307, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.024915 = idf(docFreq=5836, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=307)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This is the first study that compares types of orientation tactics that blind and sighted users applied in their initial interactions with a digital library (DL) and the associated factors. Multiple methods were employed for data collection: questionnaires, think-aloud protocols, and transaction logs. The paper identifies seven types of orientation tactics applied by the two groups of users. While sighted users focused on skimming DL content, blind users concentrated on exploring DL structure. Moreover, the authors discovered 13 types of system, user, and interaction factors that led to the use of orientation tactics. More system factors than user factors affect blind users' tactics in browsing DL structures. The findings of this study support the social model that the sight-centered design of DLs, rather than blind users' disability, prohibits them from effectively interacting with a DL. Simultaneously, the results reveal the limitation of existing interactive information retrieval models that do not take people with disabilities into consideration. DL design implications are discussed based on the identified factors.