2010 Fiscal Year Final Research Report
Research of computational customer modeling based on large-scale datasets and various situations in retail service
| Project/Area Number |
21700179
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Intelligent informatics
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
ISHIGAKI Tsukasa National Institute of Advanced Industrial Science and Technology, サービス工学研究センター, 産総研特別研究員 (20469597)
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| Project Period (FY) |
2009 – 2010
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| Keywords | サービス工学 / 大規模データ / ID付POSデータ / 消費者行動モデル / 確率的意味解析 / ベイジアンネットワーク |
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| Research Abstract |
This research proposed 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 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. This method is applicable for marketing support, service modeling, and decision making in various business fields, including retail services.
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Research Products
(7 results)
