| 摘要 |
A set of neighbor items associated with a first item is identified based, in part, on a first feature set associated with the first item, wherein each neighbor item of the set of neighbor items is associated with a feature set. A supplemented feature set is generated for the first item based on the identified set of neighbor items responsive to combining the first feature set and the features sets associated with the set of neighbor items. A set of classification scores associated the first item is generated based on the supplemented feature set, each classification score of the set of classification scores indicating a likelihood that the first item belongs to a class of items.
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