Search (6 results, page 1 of 1)

  • × author_ss:"Kando, N."
  • × language_ss:"e"
  1. Kando, N.: Information concepts reexamined (1994) 0.00
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    Abstract
    Discusses and categorizes suitable information concepts for the context of LIS into 3 groups: objective information, subjective information, and information as process. Examines the characteristics of each group to indicate their relationships with each other
    Source
    International forum on information and documentation. 19(1994) no.2, S.20-24
    Theme
    Information
  2. Kuriyama, K.; Kando, N.; Nozue, T.; Eguchi, K.: Pooling for a large-scale test collection : an analysis of the search results from the First NTCIR Workshop (2002) 0.00
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    Source
    Information retrieval. 5(2002), S.41-59
  3. Gey, F.C.; Kando, N.; Peters, C.: Cross-Language Information Retrieval : the way ahead (2005) 0.00
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    Abstract
    This introductory paper covers not only the research content of the articles in this special issue of IP&M but attempts to characterize the state-of-the-art in the Cross-Language Information Retrieval (CLIR) domain. We present our view of some major directions for CLIR research in the future. In particular, we find that insufficient attention has been given to the Web as a resource for multilingual research, and to languages which are spoken by hundreds of millions of people in the world but have been mainly neglected by the CLIR research community. In addition, we find that most CLIR evaluation has focussed narrowly on the news genre to the exclusion of other important genres such as scientific and technical literature. The paper concludes by describing an ambitious 5-year research plan proposed by James Mayfield and Paul McNamee.
    Source
    Information processing and management. 41(2005) no.3, S.415-432
  4. Fujii, A.; Iwayama, M.; Kando, N.: Introduction to the special issue on patent processing (2007) 0.00
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    Abstract
    The processing of intellectual property documents, such as patents, has been important to the industry, business, and law communities. Recently, the importance of patent processing has also been recognized in academic research communities, particularly by information retrieval and natural language processing researchers. In addition, large test collections that include patents have recently become available, to enable the systematic evaluation of methodologies from a scientific point of view. In the light of these activities, this special issue is intended to collect advanced research papers on patent processing. As an introduction to the special issue on patent processing, this paper surveys the relevant literature and outlines the papers selected for the special issue.
    Source
    Information processing and management. 43(2007) no.5, S.1149-1153
  5. Hu, X.; Kando, N.: Task complexity and difficulty in music information retrieval (2017) 0.00
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    Abstract
    There has been little research on task complexity and difficulty in music information retrieval (MIR), whereas many studies in the text retrieval domain have found that task complexity and difficulty have significant effects on user effectiveness. This study aimed to bridge the gap by exploring i) the relationship between task complexity and difficulty; ii) factors affecting task difficulty; and iii) the relationship between task difficulty, task complexity, and user search behaviors in MIR. An empirical user experiment was conducted with 51 participants and a novel MIR system. The participants searched for 6 topics across 3 complexity levels. The results revealed that i) perceived task difficulty in music search is influenced by task complexity, user background, system affordances, and task uncertainty and enjoyability; and ii) perceived task difficulty in MIR is significantly correlated with effectiveness metrics such as the number of songs found, number of clicks, and task completion time. The findings have implications for the design of music search tasks (in research) or use cases (in system development) as well as future MIR systems that can detect task difficulty based on user effectiveness metrics.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.7, S.1711-1723
  6. Rodrigo, A.; Peñas, A.; Miyao, Y.; Kando, N.: Do systems pass university entrance exams? (2018) 0.00
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    Source
    Information processing and management. 54(2018) no.4, S.564-575
    Theme
    Information