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
The Ministry of Economy, Trade and Industry in Japan: The FY2012 Research on Infrastructure Development in Japan’s Information-based Economy Society (E-Commerce Market Survey) (2012)
Integrated service site for group buying coupon websites in Japan (COUPON-JP): http://coupon-jp.com/
Nomura, S., Oyama, S., Hayamizu, T., Ishida, T.: Analysis and Improvement of HITS Algorithm for Detecting WEB Communities. Journal of Systems and Computers 35(13) (2004)
Brin, S., Page, L.: The Anatomy of a Large-Scale Hypertextual Web Search Engine. In: Seventh International World-Wide Web Conference (1998)
Kleinberg, J.: Authoritative Sources in a Hyperlinked Environment. Journal of the ACM (JACM) 46(5) (1999)
Uno, H.: Ranking Techniques for web pages. Communications of the Operations Research Society of Japan 57(6) (2012) (in Japanese)
Gibson, D., Kleinberg, J., Raghavan, P.: Inferring Web Communities from Link Topology. In: Proc. of the 9th ACM Conference on Hypertext and Hypermedia (1998)
Rogers, E.M.: Diffusion of Innovations. Free Press (2003)
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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
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