Systems and methods for directng messages based on social data

• US 9,825,899 B2
• Filed: 07/10/2014
• Issued: 11/21/2017
• Est. Priority Date: 07/10/2014
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Adkins, Michael David
• Primary Examiner(s): Bengzon, Greg C
• Application Number:
  US14/328,646
• Publication Number:
  US 20160014070A1
• Time in Patent Office: 1,230 Days
• CPC Class Codes: H04L 51/212 using filtering or selective blocking
• CPC Class Codes: H04L 51/52 for supporting social networking services

Abstract

Systems, methods, and non-transitory computer-readable media can receive a request to send a message from a sender to a recipient. It can be determined that the sender and the recipient have at least a specified number of degrees of separation within a social network. The systems, methods, and non-transitory computer readable media can acquire social data about at least one of a set of groups joined by the sender and the recipient, a set of events attended by the sender and the recipient, a set of locations visited by the sender and the recipient, or a set of common interests shared by the sender and the recipient. It can be determined whether to deliver the message to a primary inbox of the recipient based on the social data.

Claims

1. A computer-implemented method comprising:

receiving, by a computing system, a request to send a message from a sender to a recipient;

determining, by the computing system, that the sender and the recipient have a first number of degrees of separation within a social network;

acquiring, by the computing system, social data about at least one of a set of groups joined by the sender and the recipient, a set of events attended by the sender and the recipient, a set of locations visited by the sender and the recipient, or a set of common interests shared by the sender and the recipient;

determining, by the computing system, that a set of software applications are installed on both a computing device of the sender and on a computing device of the recipient;

determining, by the computing system, that the sender and the recipient have not declined a friend request from one another; and

determining, by the computing system, whether to deliver the message to a primary inbox of the recipient based on the social data and on the sender and the recipient not having declined a friend request from one another.

2. The computer-implemented method of claim 1, wherein the at least the specified number of degrees of separation corresponds to at least three degrees of separation.

3. The computer-implemented method of claim 1, further comprising:

determining that the recipient has not previously declined a connection request from the sender.

4. The computer-implemented method of claim 1, further comprising:

determining that the sender has not been reported, within a specified time period, to be associated with undesired content.

5. The computer-implemented method of claim 1, wherein the message is to be delivered to a secondary inbox of the recipient by default.

6. The computer-implemented method of claim 5, further comprising:

determining a confidence score for the message based on the social data, wherein the message is to be delivered to the primary inbox instead of the secondary inbox when the confidence score satisfies a specified threshold.

7. The computer-implemented method of claim 6, wherein the social data indicates a membership size of a group within the set of groups joined by the sender and the recipient, wherein the confidence score for the message is increased when the membership size is smaller, and wherein the confidence score for the message is decreased when the membership size is larger.

8. The computer-implemented method of claim 6, further comprising:

determining, for the sender, a user influence score that is indicative of a reputation of the sender within the social network, wherein the confidence score is increased when the user influence score is higher, and wherein the confidence score is decreased when the user influence score is lower.

9. The computer-implemented method of claim 8, wherein the user influence score is decreased when at least one of 1) the sender is reported to be associated, within a specified time period, with undesired content, or 2) the sender is reported to be associated, within a specified time period, with other users who are reported to be associated with undesired content.

10. The computer-implemented method of claim 1, wherein the social data indicates a time frame for an event within the set of events attended by the sender and the recipient, wherein the confidence score for the message is increased when the request to send the message is received closer in time to the time frame, and wherein the confidence score for the message is decreased when the request to send the message is received further away in time from the time frame.

11. The computer-implemented method of claim 1, wherein the social data indicates an attendance size of an event within the set of events attended by the sender and the recipient, wherein the confidence score for the message is increased when the attendance size is smaller, and wherein the confidence score for the message is decreased when the attendance size is larger.

12. The computer-implemented method of claim 1, wherein the social data indicates at least one of a location quantity or a location frequency associated with the set of locations visited by the sender and the recipient, wherein the confidence score for the message is increased when the at least one of the location quantity or the location frequency is higher, and wherein the confidence score for the message is decreased when the at least one of the location quantity or the location frequency is lower.

13. The computer-implemented method of claim 1, wherein the set of locations visited by the sender and the recipient is determined based on at least one of check-in data, tag data, global positioning system (GPS) data, WiFi data, Bluetooth data, near field communications (NFC) data, wireless signal triangulation data, or wireless signal multilateration data.

14. The computer-implemented method of claim 1, wherein the determining of whether to deliver the message to the primary inbox is further based on an analysis of at least a portion of content within the message.

15. The computer-implemented method of claim 1, wherein the request is received from a third party service, wherein the sender and the recipient are associated with the third party service, and wherein the third party service provides, at least in part, communications functionality.

16. The computer-implemented method of claim 15, wherein the third party service corresponds to at least one of a social networking application, a social media application, a communications application, a gaming application, or a location-based application.

17. A device comprising:

at least one processor; and

a memory storing instructions that, when executed by the at least one processor, cause the device to perform;

receiving a request to send a message from a sender to a recipient;

determining that the sender and the recipient have a first number of degrees of separation within a social network;

acquiring social data about at least one of a set of groups joined by the sender and the recipient, a set of events attended by the sender and the recipient, a set of locations visited by the sender and the recipient, or a set of common interests shared by the sender and the recipient;

determining, by the computing system, that a set of software applications are installed on both a computing device of the sender and on a computing device of the recipient;

determining, by the computing system, that the sender and the recipient have not declined a friend request from one another; and

determining whether to deliver the message to a primary inbox of the recipient based on the social data and on the sender and the recipient not having declined a friend request from one another.

18. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform:

receiving a request to send a message from a sender to a recipient;

determining that the sender and the recipient have a first number of degrees of separation within a social network;

acquiring social data about at least one of a set of groups joined by the sender and the recipient, a set of events attended by the sender and the recipient, a set of locations visited by the sender and the recipient, or a set of common interests shared by the sender and the recipient;

determining, by the computing system, that a set of software applications are installed on both a computing device of the sender and on a computing device of the recipient;

determining, by the computing system, that the sender and the recipient have not declined a friend request from one another; and

determining whether to deliver the message to a primary inbox of the recipient based on the social data and on the sender and the recipient not having declined a friend request from one another.