Research Article
Prediction of Repeat Customers on E-Commerce Platform Based on Blockchain
Table 2
The top 10 impact features of the DeepCatboost individual model.
| Ranking of features | Feature detail |
| 1 | The ratio of shopping times during promotion to nonpromotion days | 2 | The ratio of purchasing times to browsing | 3 | The total historical shopping times of a buyer from some seller | 4 | The ratio of purchasing times to collecting | 5 | The time interval between the first purchase and the last purchase of a buyer from a seller | 6 | The interaction frequency between a buyer and a seller measured in months | 7 | The total number of goods purchased by different age groups of buyers from a seller | 8 | The total number of buyers browsing some seller | 9 | The total number of bands purchased by a buyer from a seller | 10 | The total number of goods purchased by different sexes of buyers from a seller |
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