Invitation behavior prediction method and apparatus, and storage medium

An invitation behavior prediction apparatus, comprising:

• processing circuitry configured to:
• obtain, via interface circuitry, group behavior feature information of a first user, the group behavior feature information including a group membership duration of the first user in a group of member users and an invitation time interval of the first user, the invitation time interval being a time interval between a time at which a most recent invitation is made by the first user and a current time;
• obtain, via the interface circuitry, group relationship feature information of a second user, the second user being associated with the first user, and the group relationship feature information being indicative of an association between the second user and the group;
• input group architecture feature information of the group, the group behavior feature information of the first user, and the group relationship feature information of the second user to an invitation prediction model, to obtain a target member user and a candidate invitation user of the target member user, the invitation prediction model being obtained by training the invitation prediction model based on a plurality of sample groups in a training set, and group relationship feature information of associated users of member users in the plurality of sample groups, the group architecture feature information of the group including a user member of the member users in the group and correlations of the users in the group;
• and
• send, via the interface circuitry, invitation prediction information to the target member user, the invitation prediction information being configured to prompt the target member user to add the candidate invitation user of the target member user to the group.

A non-transitory computer readable storage medium storing instructions which when executed by at least one processor cause the at least one processor to perform:

• obtaining group behavior feature information of a first user, the group behavior feature information including a group membership duration of the first user in a group of member users and an invitation time interval of the first user, the invitation time interval being a time interval between a time at which a most recent invitation is made by the first user and a current time;
• obtaining group relationship feature information of a second user, the second user being associated with the first user, and the group relationship feature information being indicative of an association between the second user and the group;
• inputting group architecture information of the group, the group behavior feature information of the first user, and the group relationship feature information of the second user to an invitation prediction model, to obtain a target member user and a candidate invitation user of the target member user, the invitation prediction model being obtained by training the invitation prediction model based on a plurality of sample groups in a training set, and group relationship feature information of associated users of member users in the plurality of sample groups, the group architecture feature information of the group including a user number of the member users in the group and correlations of the users in the group;
• and
• sending invitation prediction information to the target member user, the invitation prediction information being configured to prompt the target member user to add the candidate invitation user of the target member user to the group.