User recommendation method and system in SNS community, and computer storage medium

A system in a Social Networking Service (SNS) community, comprising:

• at least one memory;
• and
• at least one processor coupled to the at least one memory and to execute instructions stored in the at least one memory to cause the system to:
• obtain at least one interaction record of at least one relationship interaction in a first SNS community between a first user and a second user;
• determine an interaction frequency according to a corresponding frequency of the at least one relationship interaction in the first SNS community between the first user and the second user;
• perform a determination of a closeness of the first user and the second user according to information of a first user relationship chain established between the first user and users in the first SNS community, and information of a second user relationship chain established between the second user and users in the second SNS community;
• determine a familiarity of the first user and the second user according to the determined interaction frequency in the first SNS community between the first user and the second user and the determined closeness of the first user and the second user;
• and
• provide, to the first user in a second SNS community, information indicating recommendation of the second user whose determined familiarity with the first user exceeds a familiarity threshold,
• wherein
• the determination of the closeness of the first user and the second user according to the information of the first user relationship chain established between the first user and the users in the first SNS community, and the information of the second user relationship chain established between the second user and the users in the second SNS community, comprises:
• a determination of whether the first user relationship chain of the first user in the first SNS community includes:
• the second user being a friend of the first user,
• the second user being a twice friend of the first user,
• the second user being a user that the first user listens in as a listening-in relationship or of concern to the first user as a concern relationship;
• a determination of whether the second user relationship of the second user in the second SNS community includes the second user being the twice friend of the first user in the second SNS community;
• and
• an increase of the closeness of the first user and the second user according to a weight, in response to one or any combinations of the determining that,
• in the first SNS community,
• the second user is the friend of the first user,
• the second user is the twice friend of the first user, or
• the second user is a user that the first user listens in as a listening-in relationship or of concern to the first user as a concern relationship, or
• in the second SNS community,
• the second user is the twice friend of the first user.

At least one non-transitory computer storage medium comprising computer-executable instructions, the computer-executable instructions used for executing a user recommendation method for a system in a Social Networking Service (SNS) community, wherein the method for the system comprises:

• obtaining at least one interaction record of at least one relationship interaction in a first SNS community between a first user and a second user;
• determining an interaction frequency according to a corresponding frequency of the at least one relationship interaction in the first SNS community between the first user and the second user;
• determining a closeness of the first user and the second user according to information of a first user relationship chain established between the first user and users in the first SNS community, and information of a second user relationship chain established between the second user and users in the second SNS community;
• determining a familiarity of the first user and the second user according to the determined interaction frequency in the first SNS community between the first user and the second user and the determined closeness of the first user and the second user;
• and
• providing, to the first user in a second SNS community, information indicating recommendation of the second user whose determined familiarity with the first user exceeds a familiarity threshold,
• wherein
• the determining the closeness of the first user and the second user according to the information of the first user relationship chain established between the first user and the users in the first SNS community, and the information of the second user relationship chain established between the second user and the users in the second SNS community, comprises:
• determining whether the first user relationship chain of the first user in the first SNS community includes:
• the second user being a friend of the first user,
• the second user being a twice friend of the first user,
• the second user being a user that the first user listens in as a listening-in relationship or of concern to the first user as a concern relationship;
• determining whether the second user relationship of the second user in the second SNS community includes the second user being the twice friend of the first user in the second SNS community;
• and
• increasing the closeness of the first user and the second user according to a weight, in response to one or any combinations of the determining that,
• in the first SNS community,
• the second user is the friend of the first user,
• the second user is the twice friend of the first user, or
• the second user is a user that the first user listens in as a listening-in relationship or of concern to the first user as a concern relationship, or
• in the second SNS community,
• the second user is the twice friend of the first user.