Customer-item category based knowledge discovery support system and its application to department store service

Tsukasa Ishigaki, Takeshi Takenaka, Yoichi Motomura

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

In the framework of personalization or micromarketing of services, an effective strategy is to examine customers or items of a specific category. This paper describes an actual service support system using discovery of category-based customer behavior knowledge. The method is realized by modeling a customers' purchase behavior with some purchase situations or conditions using massive point of sales data with a customer ID (ID-POS data) in a department store chain. We automatically generate categories of customers and items based on a purchase patterns identified in ID-POS data using probabilistic latent semantics indexing. We produce a Bayesian network model including the customer and item categories, situations and conditions of purchases, and the properties and demographic information of customers. Based on that network structure, we can systematically identify useful knowledge for use in furthering business intelligence or sustainable services. This method is applicable for marketing support, service modeling, and decision making in various business fields, including retail services.

本文言語English
ホスト出版物のタイトルProceedings - 2010 IEEE Asia-Pacific Services Computing Conference, APSCC 2010
ページ371-377
ページ数7
DOI
出版ステータスPublished - 2010 12 1
外部発表はい
イベント2010 IEEE Asia-Pacific Services Computing Conference, APSCC 2010 - Hangzhou, China
継続期間: 2010 12 62010 12 10

出版物シリーズ

名前Proceedings - 2010 IEEE Asia-Pacific Services Computing Conference, APSCC 2010

Other

Other2010 IEEE Asia-Pacific Services Computing Conference, APSCC 2010
国/地域China
CityHangzhou
Period10/12/610/12/10

ASJC Scopus subject areas

  • 計算理論と計算数学
  • 理論的コンピュータサイエンス

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