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Pacific-Asia Conference on Knowledge Discovery and Data Mining

PAKDD 2008: New Frontiers in Applied Data Mining pp 193–202Cite as

Interactive Visualization System for Decision Making Support in Online Shopping

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5433))

Abstract

This paper proposes an interactive visualization based on decision making approach, which helps a user to make a comparison between items and to select certain item in online shopping. This paper employs an interactive visualization system Keyword Map, which is designed for general-purpose visualization of graph structure. The system has several functions for emphasizing user’s intentions and can reflect those to a map. In this paper, improved Keyword Map is proposed and applied to interactive retrieval process of online shopping. Experiments with test subjects are performed to compare user’s behaviors in online shopping between the proposed system and ordinary Web browser. The results show that subjects using proposed system tend to analyze relationship between items, which leads to the acceleration of concept articulation of online shopping.

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References

  1. Information Visualization. In: Card, S.T., Mackinlay, J.D., Shneiderman, B. (eds.) Reading in Information Visualization: Using Vision to Think, ch. 1, pp. 1–34. Morgan Kaufman, San Francisco (1999)

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Author information

Authors and Affiliations

  1. Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo, 191-0065, Japan

    Tomoki Kajinami, Takashi Makihara & Yasufumi Takama

Authors
  1. Tomoki Kajinami
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  2. Takashi Makihara
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  3. Yasufumi Takama
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Editor information

Editors and Affiliations

  1. School of Information Technologies, University of Sydney, NSW, Australia

    Sanjay Chawla

  2. The Institute of Scientific and Industrial Research, Osaka University, 8-1, Mihogaoka, Ibaraki, 567, Osaka, Japan

    Takashi Washio

  3. Division of Computing Science, Hokkaido University, 060-0814, Sapporo, Japan

    Shin-ichi Minato

  4. School of Medicine, Department of Medical Informatics, Shimane University, 89-1 Enya-cho, Izumo, 693-8501, Shimane, Japan

    Shusaku Tsumoto

  5. Central Research Institute of Electric Power Industry, 2-11-1 Iwado-kita, Komae-shi, 201-8511, Tokyo, Japan

    Takashi Onoda

  6. National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, 101-8430, Tokyo, Japan

    Seiji Yamada

  7. The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, 567, Osaka, Japan

    Akihiro Inokuchi

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© 2009 Springer-Verlag Berlin Heidelberg

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Cite this paper

Kajinami, T., Makihara, T., Takama, Y. (2009). Interactive Visualization System for Decision Making Support in Online Shopping. In: Chawla, S., et al. New Frontiers in Applied Data Mining. PAKDD 2008. Lecture Notes in Computer Science(), vol 5433. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00399-8_17

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  • DOI: https://doi.org/10.1007/978-3-642-00399-8_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00398-1

  • Online ISBN: 978-3-642-00399-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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