Search (17 results, page 1 of 1)

  • × author_ss:"Zhang, Y."
  1. Zhang, Y.: ¬The impact of Internet-based electronic resources on formal scholarly communication in the area of library and information science : a citation analysis (1998) 0.04
    0.037318155 = product of:
      0.07463631 = sum of:
        0.07463631 = sum of:
          0.024578942 = weight(_text_:5 in 2808) [ClassicSimilarity], result of:
            0.024578942 = score(doc=2808,freq=2.0), product of:
              0.15247129 = queryWeight, product of:
                2.9180994 = idf(docFreq=6494, maxDocs=44218)
                0.052250203 = queryNorm
              0.16120374 = fieldWeight in 2808, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                2.9180994 = idf(docFreq=6494, maxDocs=44218)
                0.0390625 = fieldNorm(doc=2808)
          0.05005737 = weight(_text_:22 in 2808) [ClassicSimilarity], result of:
            0.05005737 = score(doc=2808,freq=4.0), product of:
              0.18297131 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.052250203 = queryNorm
              0.27358043 = fieldWeight in 2808, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0390625 = fieldNorm(doc=2808)
      0.5 = coord(1/2)
    
    Date
    5. 4.1996 20:01:47
    30. 1.1999 17:22:22
  2. Zhang, Y.: Developing a holistic model for digital library evaluation (2010) 0.01
    0.010618771 = product of:
      0.021237543 = sum of:
        0.021237543 = product of:
          0.042475086 = sum of:
            0.042475086 = weight(_text_:22 in 2360) [ClassicSimilarity], result of:
              0.042475086 = score(doc=2360,freq=2.0), product of:
                0.18297131 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052250203 = queryNorm
                0.23214069 = fieldWeight in 2360, 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=2360)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This article reports the author's recent research in developing a holistic model for various levels of digital library (DL) evaluation in which perceived important criteria from heterogeneous stakeholder groups are organized and presented. To develop such a model, the author applied a three-stage research approach: exploration, confirmation, and verification. During the exploration stage, a literature review was conducted followed by an interview, along with a card sorting technique, to collect important criteria perceived by DL experts. Then the criteria identified were used for developing an online survey during the confirmation stage. Survey respondents (431 in total) from 22 countries rated the importance of the criteria. A holistic DL evaluation model was constructed using statistical techniques. Eventually, the verification stage was devised to test the reliability of the model in the context of searching and evaluating an operational DL. The proposed model fills two lacunae in the DL domain: (a) the lack of a comprehensive and flexible framework to guide and benchmark evaluations, and (b) the uncertainty about what divergence exists among heterogeneous DL stakeholders, including general users.
  3. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.01
    0.010618771 = product of:
      0.021237543 = sum of:
        0.021237543 = product of:
          0.042475086 = sum of:
            0.042475086 = weight(_text_:22 in 2742) [ClassicSimilarity], result of:
              0.042475086 = score(doc=2742,freq=2.0), product of:
                0.18297131 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052250203 = 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)
      0.5 = coord(1/2)
    
    Date
    22. 3.2009 17:49:11
  4. Zhang, Y.; Liu, J.; Song, S.: ¬The design and evaluation of a nudge-based interface to facilitate consumers' evaluation of online health information credibility (2023) 0.01
    0.008848977 = product of:
      0.017697955 = sum of:
        0.017697955 = product of:
          0.03539591 = sum of:
            0.03539591 = weight(_text_:22 in 993) [ClassicSimilarity], result of:
              0.03539591 = score(doc=993,freq=2.0), product of:
                0.18297131 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052250203 = queryNorm
                0.19345059 = fieldWeight in 993, 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=993)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    22. 6.2023 18:18:34
  5. Zhang, Y.; Wu, M.; Zhang, G.; Lu, J.: Stepping beyond your comfort zone : diffusion-based network analytics for knowledge trajectory recommendation (2023) 0.01
    0.008848977 = product of:
      0.017697955 = sum of:
        0.017697955 = product of:
          0.03539591 = sum of:
            0.03539591 = weight(_text_:22 in 994) [ClassicSimilarity], result of:
              0.03539591 = score(doc=994,freq=2.0), product of:
                0.18297131 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052250203 = queryNorm
                0.19345059 = fieldWeight in 994, 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=994)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    22. 6.2023 18:07:12
  6. Zhang, Y.: Beyond quality and accessibility : source selection in consumer health information searching (2014) 0.01
    0.008689968 = product of:
      0.017379936 = sum of:
        0.017379936 = product of:
          0.03475987 = sum of:
            0.03475987 = weight(_text_:5 in 1252) [ClassicSimilarity], result of:
              0.03475987 = score(doc=1252,freq=4.0), product of:
                0.15247129 = queryWeight, product of:
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.052250203 = queryNorm
                0.22797652 = fieldWeight in 1252, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1252)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    A systematic understanding of factors and criteria that affect consumers' selection of sources for health information is necessary for the design of effective health information services and information systems. However, current studies have overly focused on source attributes as indicators for 2 criteria, source quality and accessibility, and overlooked the role of other factors and criteria that help determine source selection. To fill this gap, guided by decision-making theories and the cognitive perspective to information search, we interviewed 30 participants about their reasons for using a wide range of sources for health information. Additionally, we asked each of them to report a critical incident in which sources were selected to fulfill a specific information need. Based on the analysis of the transcripts, 5 categories of factors were identified as influential to source selection: source-related factors, user-related factors, user-source relationships, characteristics of the problematic situation, and social influences. In addition, about a dozen criteria that mediate the influence of the factors on source-selection decisions were identified, including accessibility, quality, usability, interactivity, relevance, usefulness, familiarity, affection, anonymity, and appropriateness. These results significantly expanded the current understanding of the nature of costs and benefits involved in source-selection decisions, and strongly indicated that a personalized approach is needed for information services and information systems to provide effective access to health information sources for consumers.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.5, S.911-927
  7. Zhang, Y.; Salaba, A.: What do users tell us about FRBR-based catalogs? (2012) 0.01
    0.008602629 = product of:
      0.017205259 = sum of:
        0.017205259 = product of:
          0.034410518 = sum of:
            0.034410518 = weight(_text_:5 in 1924) [ClassicSimilarity], result of:
              0.034410518 = score(doc=1924,freq=2.0), product of:
                0.15247129 = queryWeight, product of:
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.052250203 = queryNorm
                0.22568524 = fieldWeight in 1924, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=1924)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Source
    Cataloging and classification quarterly. 50(2012) no.5/7, S.705-723
  8. Zhang, M.; Zhang, Y.: Professional organizations in Twittersphere : an empirical study of U.S. library and information science professional organizations-related Tweets (2020) 0.01
    0.008602629 = product of:
      0.017205259 = sum of:
        0.017205259 = product of:
          0.034410518 = sum of:
            0.034410518 = weight(_text_:5 in 5775) [ClassicSimilarity], result of:
              0.034410518 = score(doc=5775,freq=2.0), product of:
                0.15247129 = queryWeight, product of:
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.052250203 = queryNorm
                0.22568524 = fieldWeight in 5775, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=5775)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Twitter is utilized by many, including professional businesses and organizations; however, there are very few studies on how other entities interact with these organizations in the Twittersphere. This article presents a study that investigates tweets related to 5 major library and information science (LIS) professional organizations in the United States. This study applies a systematic tweets analysis framework, including descriptive analytics, network analytics, and co-word analysis of hashtags. The findings shed light on user engagement with LIS professional organizations and the trending discussion topics on Twitter, which is valuable for enabling more successful social media use and greater influence.
  9. Chen, H.; Zhang, Y.; Houston, A.L.: Semantic indexing and searching using a Hopfield net (1998) 0.01
    0.0073736827 = product of:
      0.014747365 = sum of:
        0.014747365 = product of:
          0.02949473 = sum of:
            0.02949473 = weight(_text_:5 in 5704) [ClassicSimilarity], result of:
              0.02949473 = score(doc=5704,freq=2.0), product of:
                0.15247129 = queryWeight, product of:
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.052250203 = queryNorm
                0.19344449 = fieldWeight in 5704, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.046875 = fieldNorm(doc=5704)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    5. 4.1996 20:01:47
  10. Ku, Y.; Chiu, C.; Zhang, Y.; Chen, H.; Su, H.: Text mining self-disclosing health information for public health service (2014) 0.01
    0.0073736827 = product of:
      0.014747365 = sum of:
        0.014747365 = product of:
          0.02949473 = sum of:
            0.02949473 = weight(_text_:5 in 1262) [ClassicSimilarity], result of:
              0.02949473 = score(doc=1262,freq=2.0), product of:
                0.15247129 = queryWeight, product of:
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.052250203 = queryNorm
                0.19344449 = fieldWeight in 1262, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1262)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.5, S.928-947
  11. Zhang, X.; Fang, Y.; He, W.; Zhang, Y.; Liu, X.: Epistemic motivation, task reflexivity, and knowledge contribution behavior on team wikis : a cross-level moderation model (2019) 0.01
    0.0073736827 = product of:
      0.014747365 = sum of:
        0.014747365 = product of:
          0.02949473 = sum of:
            0.02949473 = weight(_text_:5 in 5245) [ClassicSimilarity], result of:
              0.02949473 = score(doc=5245,freq=2.0), product of:
                0.15247129 = queryWeight, product of:
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.052250203 = queryNorm
                0.19344449 = fieldWeight in 5245, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.046875 = fieldNorm(doc=5245)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.5, S.448-461
  12. Zhang, Y.: Dimensions and elements of people's mental models of an information-rich Web space (2010) 0.01
    0.0061447355 = product of:
      0.012289471 = sum of:
        0.012289471 = product of:
          0.024578942 = sum of:
            0.024578942 = weight(_text_:5 in 4098) [ClassicSimilarity], result of:
              0.024578942 = score(doc=4098,freq=2.0), product of:
                0.15247129 = queryWeight, product of:
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.052250203 = queryNorm
                0.16120374 = fieldWeight in 4098, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4098)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Although considered proxies for people to interact with a system, mental models have produced limited practical implications for system design. This might be due to the lack of exploration of the elements of mental models resulting from the methodological challenge of measuring mental models. This study employed a new method, concept listing, to elicit people's mental models of an information-rich space, MedlinePlus, after they interacted with the system for 5 minutes. Thirty-eight undergraduate students participated in the study. The results showed that, in this short period of time, participants perceived MedlinePlus from many different aspects in relation to four components: the system as a whole, its content, information organization, and interface. Meanwhile, participants expressed evaluations of or emotions about the four components. In terms of the procedural knowledge, an integral part of people's mental models, only one participant identified a strategy more aligned to the capabilities of MedlinePlus to solve a hypothetical task; the rest planned to use general search and browse strategies. The composition of participants' mental models of MedlinePlus was consistent with that of their models of information-rich Web spaces in general.
  13. Zhang, Y.: Toward a layered model of context for health information searching : an analysis of consumer-generated questions (2013) 0.01
    0.0061447355 = product of:
      0.012289471 = sum of:
        0.012289471 = product of:
          0.024578942 = sum of:
            0.024578942 = weight(_text_:5 in 953) [ClassicSimilarity], result of:
              0.024578942 = score(doc=953,freq=2.0), product of:
                0.15247129 = queryWeight, product of:
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.052250203 = queryNorm
                0.16120374 = fieldWeight in 953, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=953)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Designing effective consumer health information systems requires deep understanding of the context in which the systems are being used. However, due to the elusive nature of the concept of context, few studies have made it a focus of examination. To fill this gap, we studied the context of consumer health information searching by analyzing questions posted on a social question and answer site: Yahoo! Answers. Based on the analysis, a model of context was developed. The model consists of 5 layers: demographic, cognitive, affective, situational, and social and environmental. The demographic layer contains demographic factors of the person of concern; the cognitive layer contains factors related to the current search task (specifically, topics of interest and information goals) and users' cognitive ability to articulate their needs. The affective layer contains different affective motivations and intentions behind the search. The situational layer contains users' perceptions of the current health condition and where the person is in the illness trajectory. The social and environmental layer contains users' social roles, social norms, and various information channels. Several novel system functions, including faceted search and layered presentation of results, are proposed based on the model to help contextualize and improve users' interactions with health information systems.
  14. Zhang, Y.; Broussard, R.; Ke, W.; Gong, X.: Evaluation of a scatter/gather interface for supporting distinct health information search tasks (2014) 0.01
    0.0061447355 = product of:
      0.012289471 = sum of:
        0.012289471 = product of:
          0.024578942 = sum of:
            0.024578942 = weight(_text_:5 in 1261) [ClassicSimilarity], result of:
              0.024578942 = score(doc=1261,freq=2.0), product of:
                0.15247129 = queryWeight, product of:
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.052250203 = queryNorm
                0.16120374 = fieldWeight in 1261, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1261)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.5, S.1028-1041
  15. Zhang, Y.; Zhang, C.; Li, J.: Joint modeling of characters, words, and conversation contexts for microblog keyphrase extraction (2020) 0.01
    0.0061447355 = product of:
      0.012289471 = sum of:
        0.012289471 = product of:
          0.024578942 = sum of:
            0.024578942 = weight(_text_:5 in 5816) [ClassicSimilarity], result of:
              0.024578942 = score(doc=5816,freq=2.0), product of:
                0.15247129 = queryWeight, product of:
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.052250203 = queryNorm
                0.16120374 = fieldWeight in 5816, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5816)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.5, S.553-567
  16. Lu, C.; Zhang, Y.; Ahn, Y.-Y.; Ding, Y.; Zhang, C.; Ma, D.: Co-contributorship network and division of labor in individual scientific collaborations (2020) 0.01
    0.0061447355 = product of:
      0.012289471 = sum of:
        0.012289471 = product of:
          0.024578942 = sum of:
            0.024578942 = weight(_text_:5 in 5963) [ClassicSimilarity], result of:
              0.024578942 = score(doc=5963,freq=2.0), product of:
                0.15247129 = queryWeight, product of:
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.052250203 = queryNorm
                0.16120374 = fieldWeight in 5963, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5963)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Collaborations are pervasive in current science. Collaborations have been studied and encouraged in many disciplines. However, little is known about how a team really functions from the detailed division of labor within. In this research, we investigate the patterns of scientific collaboration and division of labor within individual scholarly articles by analyzing their co-contributorship networks. Co-contributorship networks are constructed by performing the one-mode projection of the author-task bipartite networks obtained from 138,787 articles published in PLoS journals. Given an article, we define 3 types of contributors: Specialists, Team-players, and Versatiles. Specialists are those who contribute to all their tasks alone; team-players are those who contribute to every task with other collaborators; and versatiles are those who do both. We find that team-players are the majority and they tend to contribute to the 5 most common tasks as expected, such as "data analysis" and "performing experiments." The specialists and versatiles are more prevalent than expected by our designed 2 null models. Versatiles tend to be senior authors associated with funding and supervision. Specialists are associated with 2 contrasting roles: the supervising role as team leaders or marginal and specialized contributors.
  17. Zhang, Y.; Zhang, C.: Enhancing keyphrase extraction from microblogs using human reading time (2021) 0.01
    0.0061447355 = product of:
      0.012289471 = sum of:
        0.012289471 = product of:
          0.024578942 = sum of:
            0.024578942 = weight(_text_:5 in 237) [ClassicSimilarity], result of:
              0.024578942 = score(doc=237,freq=2.0), product of:
                0.15247129 = queryWeight, product of:
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.052250203 = queryNorm
                0.16120374 = fieldWeight in 237, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.9180994 = idf(docFreq=6494, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=237)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.5, S.611-626