Search (11 results, page 1 of 1)

  • × author_ss:"Wang, H."
  1. Wang, H.; Liao, S.; Liao, L.: ¬An agent-based framework for Web query answering (2000) 0.00 
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    Date
    2. 4.2002 12:20:19
    Language
    e
  2. Qin, H.; Wang, H.; Johnson, A.: Understanding the information needs and information-seeking behaviours of new-generation engineering designers for effective knowledge management (2020) 0.00 
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    Date
    20. 1.2015 18:30:22
    Language
    e
  3. Xie, M.; Wang, H.; Goh, T.N.: Quality dimensions of Internet search engines (1998) 0.00 
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    Date
    5. 4.1996 20:01:47
    Language
    e
  4. Wang, P.; Ma, Y.; Xie, H.; Wang, H.; Lu, J.; Xu, J.: "There is a gorilla holding a key on the book cover" : young children's known picture book search strategies (2022) 0.00 
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    Abstract
    There is no information search system can assist young children's known picture book search needs since the information is not organized according to their cognitive abilities and needs. Therefore, this study explored young children's known picture book search strategies and extracted picture book search elements by simulating a search scenario and playing a picture book search game. The study found 29 elements children used to search for known picture books. Then, these elements are classified into three dimensions: The first dimension is the concept category of an element. The second dimension is an element's status in the story. The third dimension indicates where an element appears in a picture book. Additionally, it revealed a young children's general search strategy: Children first use auditory elements that they hear from the adults during reading. After receiving error returns, they add visual elements that they see by themselves in picture books. The findings can not only help to understand young children's known-item search and reformulation strategies during searching but also provide theoretical support for the development of a picture book information organization schema in the search system.
    Language
    e
  5. Wang, H.; Wang, C.: Ontologies for universal information systems (1995) 0.00 
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    Footnote
    e-mail: iswang@cityu.edu.hk
    Language
    e
  6. Haraty, M.; Wang, Z.; Wang, H.; Iqbal, S.; Teevan, J.: Design and in-situ evaluation of a mixed-initiative approach to information organization (2017) 0.00 
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    Abstract
    Organizing personal information by folders or tags has proved to be effective for finding, remembering, and understanding information. However, past studies have shown that the cost of organization can be too high for some users to be worth the effort. Mixed-initiative approaches attempt to reduce the burden of manual organization by automatically identifying and suggesting organizational units such as folders to users. However, little is known about how such mixed-initiative approaches influence users' organizational experiences. In this paper, we explore a mixed-initiative approach that suggests high-level organizational units to users to facilitate e-mail organization. In 2 in-situ experiments with 34 knowledge workers, we study how our mixed-initiative approach influenced users' experience with organization. We show that our approach made it easier to create organizational units without negatively affecting recall of those units, and led to the creation of units that otherwise would have not been created. Our findings suggest ways computers and people can most effectively work together to organize information.
    Language
    e
  7. Watters, C.; Wang, H.: Rating new documents for similarity (2000) 0.00 
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    e
  8. Wang, H.; Liu, Q.; Penin, T.; Fu, L.; Zhang, L.; Tran, T.; Yu, Y.; Pan, Y.: Semplore: a scalable IR approach to search the Web of Data (2009) 0.00 
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  9. Tan, X.; Luo, X.; Wang, X.; Wang, H.; Hou, X.: Representation and display of digital images of cultural heritage : a semantic enrichment approach (2021) 0.00 
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  10. Wang, H.; Hong, M.: Supervised Hebb rule based feature selection for text classification (2019) 0.00 
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  11. Wang, H.; Song, Y.-Q.; Wang, L.-T.: Memory model for web ad effect based on multimodal features (2020) 0.00 
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