Abstract: A method includes acquiring user data of candidate users; mining a social business characteristic user in some of the candidate users according to the first social attribute data; training a classifier by using second social attribute data and second business object attribute data of the social business characteristic user; and inputting first social attribute data and first business object attribute data of a neighboring user to the classifier, and outputting a result of whether the neighboring user, in a period of time after the first period of time, is a social business characteristic user, wherein the neighboring user is a candidate user other than the social business characteristic user. The present disclosure increases the volume of associated data, and improves the accuracy of the classifier, thus improving the accuracy of identification, so that potential social business characteristic users in the first period of time can be identified.