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

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/65249

Title: Analysis Using Popularity Awareness Index, Recency Index and Purchase Diversity in Group Buying
Authors: Shirai, Yasuyuki Browse this author
Morita, Hiroyuki Browse this author
Nakamoto, Masakazu Browse this author
Oyama, Satoshi Browse this author →KAKEN DB
Keywords: group buying
HITS algorithm
entropy
Issue Date: 2014
Publisher: Springer
Citation: Advances in Data Mining. Applications and Theoretical Aspects, Part of the Lecture Notes in Computer Science book series (LNCS, volume 8557), ISBN: 978-3-319-08975-1
Journal Title: Lecture Notes in Computer Science
Volume: 8557
Start Page: 100
End Page: 114
Publisher DOI: 10.1007/978-3-319-08976-8_8
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.
Rights: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-08976-8_8
Type: article (author version)
URI: http://hdl.handle.net/2115/65249
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 小山 聡

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