Search (15 results, page 1 of 1)

  • × author_ss:"Zhang, X."
  1. Jiang, Y.; Bai, W.; Zhang, X.; Hu, J.: Wikipedia-based information content and semantic similarity computation (2017) 0.04
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    Content
    Vgl.: http://www.sciencedirect.com/science/article/pii/S0306457316303934 [http://dx.doi.org/10.1016/j.ipm.2016.09.001].
    Date
    23. 1.2017 14:06:29
    Source
    Information processing and management. 53(2017) no.1, S.248-265
  2. Zhang, X.: Concept integration of document databases using different indexing languages (2006) 0.03
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    Abstract
    An integrated information retrieval system generally contains multiple databases that are inconsistent in terms of their content and indexing. This paper proposes a rough set-based transfer (RST) model for integration of the concepts of document databases using various indexing languages, so that users can search through the multiple databases using any of the current indexing languages. The RST model aims to effectively create meaningful transfer relations between the terms of two indexing languages, provided a number of documents are indexed with them in parallel. In our experiment, the indexing concepts of two databases respectively using the Thesaurus of Social Science (IZ) and the Schlagwortnormdatei (SWD) are integrated by means of the RST model. Finally, this paper compares the results achieved with a cross-concordance method, a conditional probability based method and the RST model.
    Source
    Information processing and management. 42(2006) no.1, S.121-135
  3. 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) 0.03
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    Abstract
    A cross-level model based on the information processing perspective and trait activation theory was developed and tested in order to investigate the effects of individual-level epistemic motivation and team-level task reflexivity on three different individual contribution behaviors (i.e., adding, deleting, and revising) in the process of knowledge creation on team wikis. Using the Hierarchical Linear Modeling software package and the 2-wave data from 166 individuals in 51 wiki-based teams, we found cross-level interaction effects between individual epistemic motivation and team task reflexivity on different knowledge contribution behaviors on wikis. Epistemic motivation exerted a positive effect on adding, which was strengthened by team task reflexivity. The effect of epistemic motivation on deleting was positive only when task reflexivity was high. In addition, epistemic motivation was strongly positively related to revising, regardless of the level of task reflexivity involved.
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.5, S.448-461
  4. Zhang, X.; Chignell, M.: Assessment of the effects of user characteristics on mental models of information retrieval systems (2001) 0.01
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    Abstract
    This article reports the results of a study that investigated effects of four user characteristics on users' mental models of information retrieval systems: educational and professional status, first language, academic background, and computer experience. The repertory grid technique was used in the study. Using this method, important components of information retrieval systems were represented by nine concepts, based on four IR experts' judgments. Users' mental models were represented by factor scores that were derived from users' matrices of concept ratings on different attributes of the concepts. The study found that educational and professional status, academic background, and computer experience had significant effects in differentiating users on their factor scores. First language had a borderline effect, but the effect was not significant enough at a = 0.05 level. Specific different views regarding IR systems among different groups of users are described and discussed. Implications of the study for information science and IR system designs are suggested
    Date
    29. 9.2001 14:00:33
    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.6, S.445-459
  5. Zhang, X.; Han, H.: ¬An empirical testing of user stereotypes of information retrieval systems (2005) 0.01
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    Source
    Information processing and management. 41(2005) no.3, S.651-664
  6. Jiang, Y.; Zhang, X.; Tang, Y.; Nie, R.: Feature-based approaches to semantic similarity assessment of concepts using Wikipedia (2015) 0.01
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    Source
    Information processing and management. 51(2015) no.3, S.215-234
  7. Zhang, X.; Wang, D.; Tang, Y.; Xiao, Q.: How question type influences knowledge withholding in social Q&A community (2023) 0.01
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    Date
    22. 9.2023 13:51:47
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.10, S.1170-1184
  8. Yang, F.; Zhang, X.: Focal fields in literature on the information divide : the USA, China, UK and India (2020) 0.00
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    Date
    13. 2.2020 18:22:13
  9. Zhang, X.: Collaborative relevance judgment : a group consensus method for evaluating user search performance (2002) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.3, S.220-231
  10. Ho, S.M.; Bieber, M.; Song, M.; Zhang, X.: Seeking beyond with IntegraL : a user study of sense-making enabled by anchor-based virtual integration of library systems (2013) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.9, S.1927-1945
  11. Sun, Y.; Wang, N.; Shen, X.-L.; Zhang, X.: Bias effects, synergistic effects, and information contingency effects : developing and testing an extended information adoption model in social Q&A (2019) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.12, S.1368-1382
  12. Tay, W.; Zhang, X.; Karimi , S.: Beyond mean rating : probabilistic aggregation of star ratings based on helpfulness (2020) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.7, S.784-799
  13. Zhang, X.; Liu, J.; Cole, M.; Belkin, N.: Predicting users' domain knowledge in information retrieval using multiple regression analysis of search behaviors (2015) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.5, S.980-1000
  14. Liu, J.; Zhang, X.: ¬The role of domain knowledge in document selection from search results (2019) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.11, S.1236-1247
  15. Cui, Y.; Wang, Y.; Liu, X.; Wang, X.; Zhang, X.: Multidimensional scholarly citations : characterizing and understanding scholars' citation behaviors (2023) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.1, S.115-127