Research Article
A Novel Contextual Information Recommendation Model and Its Application in e-Commerce Customer Satisfaction Management
Table 1
Users’ contexts and interest rules table (part of C5.0 rules).
| Number | Sex | Monthly income | Age | Region | Time | Purpose | Subject interest 1 | Subject interest 2 | Subject interest 3 |
| 1 | Female | 8000 | 32 | Eastern China | Weekend | Self-use | Clothing | Hairdressing | Entertainment | 2 | Male | 5400 | 28 | Northeast | Workday | Gift | Digit | Recreation and sports | Food | 3 | Female | 14381 | 27 | Eastern China | Workday | Self-use | Accessories | Hairdressing | Food | 4 | Female | 5930 | 33 | Eastern China | Weekend | Self-use | Infant & mom | Home furnishing | Clothing | 5 | Female | 24103 | 31 | South China | Weekend | Gift | Hairdressing | Entertainment | Clothing | 6 | Male | 4590 | 38 | South China | Weekend | Gift | Digit | Home furnishing | Recreation and sports | 7 | Female | 5089 | 40 | Eastern China | Workday | Self-use | Home furnishing | Food | Hairdressing | 8 | Female | 14093 | 46 | Northeast | Workday | Gift | Clothing | Hairdressing | Food | 9 | Male | 14903 | 31 | Southwest | Weekend | Self-use | Food | Digit | Entertainment | 10 | Male | 6250 | 42 | North China | Weekend | Self-use | Home furnishing | Food | Recreation and sports |
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