Generating guest suggestions for events in a social networking system

• US 9,774,556 B2
• Filed: 05/26/2015
• Issued: 09/26/2017
• Est. Priority Date: 08/13/2012
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Baldwin, Robert Michael, Bridge, Henry, Bush, Matthew
• Primary Examiner(s): Anyan, Barbara B
• Application Number:
  US14/722,060
• Publication Number:
  US 20150256503A1
• Time in Patent Office: 854 Days
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 10/109 Time management, e.g. calendars, reminders, meetings or time accounting
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Social networking system users may create events where a group of other users invited to the event meet at a specified time and location. The social networking system suggests users to invite to an event based on a prediction that the users would attend the event if invited. Various factors may be used to make the prediction, such as an affinity between the inviting user and the other users, the availability of the other users at the time of the event and/or the proximity of the other users to the location of the event. An inviting user receives the suggested users and selects suggested users to invite to the event or invitations may be automatically sent to the suggested users by the social networking system.

Claims

1. A method comprising:

retrieving information about an event associated with an inviting user of a social networking system;

accessing information about social networking system users associated with the inviting user;

selecting a set of candidate users from the social networking system associated with the inviting user based on the accessed information about the social networking system users associated with the inviting user;

determining a likelihood that each of the candidate users from the set would join the event if invited, the likelihood of a candidate user joining the event based on an affinity between the candidate user and the inviting user;

selecting one or more candidate users from the set based on the determined likelihoods;

sending a suggestion to the inviting user to send an invitation for the event to the selected one or more candidate users and

sending to the inviting user a confirmation that the invitation for the event was sent to the selected one or more candidate users.

2. The method of claim 1, wherein selecting the set of candidate users from the social networking system users associated with the inviting user based on the accessed information about the social networking system users associated with the inviting user comprises:

selecting users associated with the inviting user having a location within a specified distance of a location included in the information about the event.

3. The method of claim 1, wherein selecting a set of candidate users from the social networking system users associated with the inviting user based on the accessed information about the social networking system users associated with the inviting user comprises:

selecting users having a location within a specified distance of a location included in the information about the event and an availability at a time included in the information about the event.

4. The method of claim 1, wherein selecting one or more candidate users from the set based on the determined likelihoods comprises:

selecting one or more candidate users having highest likelihoods of joining the event.

5. The method of claim 1, wherein selecting one or more candidate users from the set based on the determined likelihoods comprises:

selecting one or more candidate users having a likelihood of joining the event equaling or exceeding a threshold likelihood.

6. The method of claim 1, wherein determining the likelihood that each of the candidate users from the set would join the event if invited, the likelihood of a candidate user joining the event based on an affinity between the candidate user and the inviting user comprises:

assigning a social value to each candidate user from the set;

determining a likelihood that each candidate user from the set will join the event; and

determining an expected value for each candidate user from the set, the expected value of a candidate user based on the candidate user'"'"'s social value and a likelihood that the candidate user will join the event.

7. The method of claim 6, wherein selecting one or more candidate users from the set based on the determined likelihoods comprises:

selecting one or more candidate users having highest expected values.

8. The method of claim 1, wherein sending the suggestion to the inviting user to send an invitation for the event to the selected one or more candidate users comprises:

including a story identifying the listing in a news feed sent to an electronic device associated with the inviting user.

9. The method of claim 1, wherein the event associated with the inviting user is an event that the inviting user is hosting or an event that the inviting user created.

10. The method of claim 1, wherein the event associated with the inviting user is an event authorizing the inviting user to invite additional users.

11. The method of claim 1, further comprising:

receiving a response from the inviting user identifying a candidate user to receive an invitation, and sending a notification of the event to an electronic device associated with the identified user.

12. The method of claim 1, wherein sending the suggestion to the inviting user to send the invitation for the event to the selected one or more candidate users comprises:

including a story identifying the listing in a newsfeed sent to an electronic device associated with the inviting user.

13. A computer program product comprising a non-transitory computer-readable storage medium containing instructions that, when executed by a processor causes the processor to perform the following steps:

retrieving information about an event associated with an inviting user of a social networking system;

accessing information about social networking system users associated with the inviting user;

selecting a set of candidate users from the social networking system associated with the inviting user based on the accessed information about the social networking system users associated with the inviting user;

determining a likelihood that each of the candidate users from the set would join the event if invited, the likelihood of a candidate user joining the event based on an affinity between the candidate user and the inviting user;

selecting one or more candidate users from the set based on the determined likelihoods;

sending a suggestion to the inviting user to send an invitation for the event to the selected one or more candidate users and

sending to the inviting user a confirmation that the invitation for the event was sent to the selected one or more candidate users.

14. The computer program product of claim 13, wherein selecting the set of candidate users from the social networking system users associated with the inviting user based on the accessed information about the social networking system users associated with the inviting user comprises:

selecting users associated with the inviting user having a location within a specified distance of a location included in the information about the event.

15. The computer program product of claim 13, wherein determining the likelihood that each of the candidate users from the set would join the event if invited, the likelihood of a candidate user joining the event based on an affinity between the candidate user and the inviting user comprises:

assigning a social value to each candidate user from the set;

determining a likelihood that each candidate user from the set will join the event; and

determining an expected value for each candidate user from the set, the expected value of a candidate user based on the candidate user'"'"'s social value and a likelihood that the candidate user will join the event.

16. The computer program product of claim 13, further comprising:

receiving a response from the inviting user identifying a candidate user to receive an invitation, and sending a notification of the event to an electronic device associated with the identified user.