METHOD, DEVICE, AND SERVER FOR FRIEND RECOMMENDATION

摘要

Methods, devices, and servers for friend recommendation are provided. A user association set of a target user is obtained. Original data of each associated user in the user association set is obtained. The original data include location relationship data, associated friend data, time relationship data, or combinations thereof, between each associated user and the target user. The original data of each associated user is screened to obtain feature data to form a feature collection for each associated user. A pre-configured N-Tree prediction model is used to process the feature collection for a prediction calculation to obtain an association-predicting value for each associated user. According to the association-predicting value of each associated user, a friend user for the target user from the user association set is determined and recommended to the target user.

主权项

1. A method for friend recommendation, comprising:
obtaining a user association set of a target user, wherein the user association set comprises a plurality of associated users that are associated with the target user; obtaining original data of each associated user in the user association set of the target user, wherein the original data comprise location relationship data, associated friend data, time relationship data, or combinations thereof, between each associated user and the target user; screening the original data of each associated user to obtain feature data to form a feature collection for each associated user; using a pre-configured N-Tree prediction model to process the feature collection for a prediction calculation to obtain an association-predicting value for each associated user; and according to the association-predicting value of each associated user, determining a friend user for the target user from the user association set and recommending the friend user to the target user.