Abstract: The present disclosure provides a method for recommending medium users, which may include: determining a group of first users required to be recommended according to ranking information of respective first users and a behaviour model of a second user; filtering the group of first users required to be recommended according to a user relationship chain of the second user or saturation information of the group of first users; recommending a first user of the filtered group of first users to the second user. The present disclosure also provides a system for recommending medium users.

Abstract: It is disclosed a method and device for pushing internet information based on categorization, and a computer storage medium. The method includes the following steps: when receiving a service request initiated by a micro-blog user, a server selects (101), for the micro-blog user, a list of recommended micro-blog celebrities that fall into a same category as a micro-blog celebrity already listened to by the micro-blog user; and the server feeds (102) information of the selected micro-blog celebrities back to the micro-blog user. The present disclosure can effectively push specific user categorizing information, and enhance willingness of the user to participate network information interaction, thereby increasing the level of activity of the user in participating network information interaction.