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

Analysis Using Popularity Awareness Index, Recency Index and Purchase Diversity in Group Buying
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团购中的人气认知指数、新近度指数和购买多样性分析

DOI:
10.1007/978-3-319-08976-8_8
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发表时间:
2014
期刊:
Advances in Data Mining. Applications and Theoretical Aspects Lecture Notes in Computer Science Volume 8557
影响因子:
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通讯作者:
Satoshi Oyama
Satoshi Oyama
中科院分区:
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文献类型:
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作者:
Yasuyuki Shirai;Hiroyuki Morita;Masakazu Nakamoto;Satoshi Oyama

文献摘要

相似文献

提出了基于HITS算法和信息熵的团购优惠券网站顾客购买行为的新度量,即知名度指数、新近度指数和购买多样性。这些指数被用来对客户进行分类并预测未来的行为。本文包括了这些新指数的定义,这些新指数将用于真实的团购网站。在这些网站中,强烈要求为客户提供足够的特征,这对营销目的至关重要。我们还将提供一些在真实数据集上的实验结果,包括用于未来营销规划的客户细分。
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.