| 摘要 |
Described are embodiments for adaptive classification of data items which may include receiving a classification training set, the classification training set comprising a set of items associated with classification events made by a group of selected users, each item in the set of items having been designated as belonging to a particular classification by a selected user while manipulating the each item; determining from the classification training set a set of rules which can be used to classify unknown data items such that the classification of the unknown data items is consistent with the manual or automatic classification of the classification training set; adaptively updating the set of rules, according to classifications made to additional data items by additional users; and automatically classifying, based on the set of rules, one or more data items that are manipulated by a second set of one or more users. |
