Notification Targeting

• US 20170116195A1
• Filed: 10/26/2015
• Published: 04/27/2017
• Est. Priority Date: 10/26/2015
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Ratiu, Florin, Birchall, Andrew Alexander, Park, David S., Ilic, Aleksandar, Schloss, Nathan Paul, Rajendran, Vasanth Kumar, Li, Yiyu, Varin, Patrick Jonathan, Stojkovic, Branislav
• Granted Patent: US 10,924,445 B2
• Time in Patent Office: Days
• CPC Class Codes: H04L 51/214 using selective forwarding
• CPC Class Codes: H04L 51/52 for supporting social networking services

Abstract

In one embodiment, a method includes receiving a number of notifications of activity relevant to a user. Each notification has an associated type. The method also includes calculating an interest of each activity to the user based at least in part on the type of each notification; ranking the notifications based at least in part on the calculated interest; and sending one or more of the notifications to the user. Each of the sent notifications has a ranking higher than a pre-determined threshold ranking.

Claims

1. A method comprising:

by a computing device, receiving a plurality of notifications of activity relevant to a user, wherein each notification has an associated type;

by the computing device, calculating an interest of each activity to the user based at least in part on the type of each notification;

by the computing device, ranking the notifications based at least in part on the calculated interest; and

by the computing device, sending one or more of the notifications to the user, wherein each of the sent notifications has a ranking higher than a pre-determined threshold ranking.

2. The method of claim 1, wherein the calculated interest is further based on a user history associated with each type of notification.

3. The method of claim 2, wherein the user history comprises a click-through rate (CTR) of previous notifications of a same type as the received notifications.

4. The method of claim 2, wherein the user history comprises a delivery pattern of the user, and wherein a time that the notifications are sent is based at least in part on the delivery pattern.

5. The method of claim 1, wherein the calculated interest is further based on one or more features of each type of notification.

6. The method of claim 5, wherein the features comprise a number of likes, comments, or re-shares associated with the activity.

7. The method of claim 1, wherein the user is represented by a first user node in a social graph associated with a social-networking system, wherein the activity is associated with another user, wherein the other user is represented by a second user node, and wherein the calculated interest is further based on an affinity between the first and second user nodes.

8. The method of claim 1, wherein the sending of the one or more notifications comprises sending the notifications in accordance to a delivery policy, wherein the delivery policy comprises:

whether to send the notifications to the user;

when to send the notifications to the user;

identification of an endpoint associated with the user to send the notifications;

or

identification of a communication media to send the notifications to the user in.

9. The method of claim 8, wherein the calculated interest is further based on the identified endpoint.

10. The method of claim 8, wherein the calculated interest is further based on the identified communication media.

11. The method of claim 8, wherein the communication endpoints comprise a particular client device, e-mail address, or phone number of the user.

12. The method of claim 8, wherein the communication media comprise a short-messaging service (SMS) message, multimedia-messaging service (MMS) message, incoming call notification, or e-mail message.

13. The method of claim 1, wherein the pre-determined threshold ranking is based at least in part on the type of each received notification.

14. The method of claim 1, wherein the notifications are sent in accordance with privacy settings of the user.

15. The method of claim 1, further comprising storing the received notifications in a queue prior to the sending of the notifications.

16. The method of claim 1, wherein the types of notifications comprise posts, people you may know (PYMK), trending topic, or advertisement.

17. The method of claim 16, wherein the calculated interest is based on a PYMK score.

18. The method of claim 1, wherein one or more of the received notifications is associated with a third-party system.

19. One or more computer-readable non-transitory storage media embodying software configured when executed to:

receive a plurality of notifications of activity relevant to a user, wherein each notification has an associated type;

calculate an interest of each activity to the user based at least in part on the type of each notification;

rank the notifications based at least in part on the calculated interest; and

send one or more of the notifications to the user, wherein each of the sent notifications has a ranking higher than a pre-determined threshold ranking.

20. A device comprising:

one or more processors; and

one or more computer-readable non-transitory storage media coupled to the processors and embodying software configured when executed to;

receive a plurality of notifications of activity relevant to a user, wherein each notification has an associated type;

calculate an interest of each activity to the user based at least in part on the type of each notification;

rank the notifications based at least in part on the calculated interest; and

send one or more of the notifications to the user, wherein each of the sent notifications has a ranking higher than a pre-determined threshold ranking.