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KNM: A Novel Intelligent User Interface for Webpage Navigation

  • Conference paper
Information Retrieval Technology (AIRS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3689))

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Abstract

In order to help readers grasp key information from web pages within limited time, a novel intelligent user interface for webpage navigation: Keyphrase Navigation Map (KNM) is proposed in this paper, which presents a map to the readers, assisting them to navigate their webpage. First, the key phrases are generated from the webpage and ranked by the keyphrase extraction engine, then they are clustered by keyphrase relevancy, and finally they are shown on the thumbnail according to their relative coordinates in the full page. The usability test proves that the KNM which presents an overview of the corresponding web page to readers can really help them to find information they are interested in effectively.

This work is done at Microsoft Research Asia.

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Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Beijing University of Technology, Chaoyang District, Beijing, 100022, P.R. China

    Shiguang Liu & Chuangbai Xiao

  2. Microsoft Research Asia, 49 Zhichun Road, Haidian District, Beijing, 100080, P.R. China

    Hua-Jun Zeng, Zheng Chen & Wei-Ying Ma

Authors
  1. Shiguang Liu
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  2. Hua-Jun Zeng
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  3. Zheng Chen
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  4. Chuangbai Xiao
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  5. Wei-Ying Ma
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Pohang University of Science and Technology, San 31, Hyoja-dong, Nam-gu, 790-784, Pohang, Korea

    Gary Geunbae Lee

  2. Computer and Communication Media Research, NEC Corp., Miyazaki 4-1-1, Miyamae-ku, 216-8555, Kawasaki, Japan

    Akio Yamada

  3. Human-Computer Communications Laboratory, Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong

    Helen Meng

  4. School of Engineering, Information and Communications University, 119, Munjiro, Yuseong-gu, 305-732, Daejeon, Korea

    Sung Hyon Myaeng

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© 2005 Springer-Verlag Berlin Heidelberg

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Liu, S., Zeng, HJ., Chen, Z., Xiao, C., Ma, WY. (2005). KNM: A Novel Intelligent User Interface for Webpage Navigation. In: Lee, G.G., Yamada, A., Meng, H., Myaeng, S.H. (eds) Information Retrieval Technology. AIRS 2005. Lecture Notes in Computer Science, vol 3689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562382_61

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  • DOI: https://doi.org/10.1007/11562382_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29186-2

  • Online ISBN: 978-3-540-32001-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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