2014 Fiscal Year Final Research Report
Predicting Customer Potential Values Using Customers' Behavior of Features in Shops
Project/Area Number |
24730375
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Commerce
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Research Institution | Senshu University (2014) Kansai University (2012-2013) |
Principal Investigator |
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Project Period (FY) |
2012-04-01 – 2015-03-31
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Keywords | データマイニング / マーケティング / 機械学習 / 潜在モデル |
Outline of Final Research Achievements |
In this study, I have proposed a customer potential values (CPV) index to conceptualize customers’ potential for purchasing products based on association rules. The customer potential value is calculated by extracting distinguishing features of customers’ movement in one supermarket. This method extracts potential purchases related to certain product items, and applies a novel technique to enhance the latent structure of relationships between products known as “graph polishing” to identify key clusters. This study was awarded top prize by Joint Association Study Group of Management Science at Data Analysis Competition in 2013.
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Free Research Field |
マーケティング情報
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