| 摘要 |
The invention discloses a tag group classifying method and equipment as well as a data mixing method and equipment, wherein a tag group comprises at least one tag and corresponding data defined by at least one of the tags. The classifying method comprises the following steps of: determining a synonymous tag set to which each tag of each tag group belongs from a plurality of synonymous tag sets; generating feature vectors corresponding to the tag groups, wherein all elements in the generated feature vectors respectively correspond to different synonymous tag sets in the plurality of synonymous tag sets, and the value of each element is equal to the amount of tags belonging to the synonymous tag sets corresponding to the elements in the tag groups; calculating the similarity between each feature vector and a core feature vector of each class in at least one class, wherein the value of each element of the core feature vector of the class is equal to the sum of values of corresponding elements in corresponding feature vectors of all the tag groups classified to the class; and classifying the tag groups to a class similar to at least one class according to the calculated similarity. |
