| 摘要 |
Disclosed is a recommendation method applied to a social network. The method comprises: in response to a trigger request for recommending friend users to a target user, extracting basic information about the target user in a supplier resource information category as a first supplier keyword and basic information in a demander resource information category as a first demander keyword; based on the first supplier keyword and the first demander keyword, clustering users in a social network to form a cluster, wherein the users in the cluster are taken as recommendable users, the basic information about the recommendable users in the supplier resource information category is taken as a second supplier keyword, the basic information about the recommendable users in the demander resource information category is taken 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 taking the recommendable users as friend users and recommending same to the target user. In addition, also provided is a recommendation system applied to a social network. |
