RECOMMENDATION METHOD AND RECOMMENDATION SYSTEM APPLIED TO SOCIAL NETWORK

摘要

A recommendation method and system are provided. The method includes: extracting basic information of a target user in a supplier resource information category as a first supplier keyword, and extracting basic information of the target user in a first demander resource information category as a first demander keyword; performing clustering on users in the social network to form a first cluster; where a user in the first cluster acts as a first recommendable user, basic information of the first recommendable user in the supplier resource information category is used as a second supplier keyword, basic information of the first recommendable user in the first demander resource information category is used as a second demander keyword, the second supplier keyword matches with the first demander keyword, and the second demander keyword matches with the first supplier keyword; recommending the first recommendable user to the target user.

主权项

1. A recommendation method, applied to a social network, comprising:
in response to a triggering request for recommending a friend user to a target user, extracting basic information of the target user in a supplier resource information category as a first supplier keyword, and extracting basic information of the target user in a first demander resource information category as a first demander keyword; performing clustering on users in the social network to form a first cluster, based on the first supplier keyword and the first demander keyword; wherein a user in the first cluster acts as a first recommendable user, basic information of the first recommendable user in the supplier resource information category is used as a second supplier keyword, basic information of the first recommendable user in the first demander resource information category is used as a second demander keyword, the second supplier keyword is matched with the first demander keyword, and the second demander keyword is matched with the first supplier keyword; and recommending the first recommendable user to the target user as the friend user.