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Analysis Using Popularity Awareness Index, Recency Index and Purchase Diversity in Group Buying

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Advances in Data Mining. Applications and Theoretical Aspects (ICDM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8557))

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Abstract

We propose new metrics for customers’ purchasing behaviors in a group buying coupon website, based on HITS algorithms and information entropy: that is, popularity awareness index, recency index, and purchase diversity. These indices are used to classify customers and predict future behaviors. This paper includes definitions of these new indices to be used in real group buying websites. In these websites, adequate characteristics for customers are strongly required and are critical for marketing purpose. We will also provide some experimental results on real data set, including customer segmentation used in future marketing planning.

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References

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Author information

Authors and Affiliations

  1. JST-ERATO Minato Discrete Structure Manipulation System Project, Hokkaido University, Sapporo, Japan

    Yasuyuki Shirai & Masakazu Nakamoto

  2. College of Sustainable System Sciences, Osaka Prefecture University, Osaka, Japan

    Hiroyuki Morita

  3. Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan

    Satoshi Oyama

Authors
  1. Yasuyuki Shirai
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  2. Hiroyuki Morita
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  3. Masakazu Nakamoto
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  4. Satoshi Oyama
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Editor information

Editors and Affiliations

  1. Institute of Computer Vision and Applied Computer Sciences, IBaI, Leipzig, Germany

    Petra Perner

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© 2014 Springer International Publishing Switzerland

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Shirai, Y., Morita, H., Nakamoto, M., Oyama, S. (2014). Analysis Using Popularity Awareness Index, Recency Index and Purchase Diversity in Group Buying. In: Perner, P. (eds) Advances in Data Mining. Applications and Theoretical Aspects. ICDM 2014. Lecture Notes in Computer Science(), vol 8557. Springer, Cham. https://doi.org/10.1007/978-3-319-08976-8_8

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  • DOI: https://doi.org/10.1007/978-3-319-08976-8_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08975-1

  • Online ISBN: 978-3-319-08976-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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