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

Shirai, Yasuyuki; Morita, Hiroyuki; Nakamoto, Masakazu et al.

Lecture Notes in Computer Science, 2014, 8557, 100-114

Permalink : https://hdl.handle.net/2115/65249

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アクセス権
open access
URI
https://hdl.handle.net/2115/65249
タイトル
Analysis Using Popularity Awareness Index, Recency Index and Purchase Diversity in Group Buying
著者
Shirai, Yasuyuki ; Morita, Hiroyuki ; Nakamoto, Masakazu ; Oyama, Satoshi
著者名
Shirai, Yasuyuki
著者名
Morita, Hiroyuki
著者名
Nakamoto, Masakazu
e-Rad_Researcher
30346100
著者名
Oyama, Satoshi
言語
英語
キーワード
group buying
HITS algorithm
entropy
発行日
2014
出版者
Springer
収録物名
Lecture Notes in Computer Science
巻(号)
8557
ページ
100-114
抄録
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.
資源タイプ
学術雑誌論文
出版タイプ
Accepted Manuscript
権利情報
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-08976-8_8
PISSN
0302-9743
EISSN
1611-3349
関連情報
ISBN
978-3-319-08975-1
関連情報 (isVersionOf)
出版社版DOI
https://doi.org/10.1007/978-3-319-08976-8_8
関連情報 (isPartOf)
Title
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