Presenting an event-related post in a stream

• US 9,432,418 B1
• Filed: 08/29/2013
• Issued: 08/30/2016
• Est. Priority Date: 09/28/2012
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Bozorgi, Mehran, Mazniker, Boris, Montauk, Dobromir
• Primary Examiner(s): Dailey, Thomas
• Application Number:
  US14/013,671
• Time in Patent Office: 1,097 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/52 for supporting social networking services

Abstract

Systems and methods for presenting an event-related post in a stream are provided. In some aspects, a plurality of event-related posts are received. Each of the plurality of event-related posts is visible to a viewing user. That a subset of the plurality of event-related posts is of interest to the viewing user is determined based on a set of factors. The subset of the plurality of event-related posts are presented within a stream for the viewing user.

Claims

1. A computer-implemented method comprising:

receiving a plurality of event-related posts, each of the plurality of event-related posts being visible to a viewing user;

determining that a subset of the plurality of event-related posts corresponds to an upcoming event that is of interest to the viewing user based on a set of factors, wherein a host of the upcoming event is two or more degrees of separation from the viewing user, wherein the viewing user is not invited to the upcoming event by the host, and wherein the set of factors comprises one or more factors related to an attendee indicating a plan to attend the upcoming event;

presenting the subset of the plurality of event-related posts within a stream for the viewing user;

generating an event invitation for the viewing user to attend the upcoming event to which the viewing user is not invited by the host; and

presenting the generated event invitation within the stream to the viewing user.

2. The method of claim 1, wherein the set of factors comprises the attendee or another invitee being a first degree or second degree social contact of the viewing user.

3. The method of claim 1, wherein the set of factors comprises the viewing user having a predicted affinity level for the host exceeding an affinity threshold.

4. The method of claim 1, wherein the plurality of event-related posts are related to at least one event having a host who is a second degree contact of the viewing user.

5. The method of claim 1, wherein the set of factors comprises one or more of:

the host of the upcoming event being a second degree contact of the viewing user, the attendee indicating the plan to attend the event or an invitee of the event being a first degree or second degree contact of the viewing user, or the viewing user having a predicted affinity level for the host, the attendee, or the invitee exceeding an affinity threshold.

6. The method of claim 1, wherein the set of factors comprises one or more of:

the upcoming event having at least an invitee threshold number of invitees, the upcoming event having at least an attendee threshold number of attendees indicating plans to attend the upcoming event, the upcoming event having at least an endorsement threshold number of endorsements, the upcoming event having at least a comment threshold number of comments, or the upcoming event being within a threshold distance of a default geographic location of the viewing user.

7. The method of claim 1, wherein determining that the subset of the plurality of event-related posts corresponds to an upcoming event that is of interest to the viewing user based on the set of factors comprises:

determining an interest level for the viewing user for each event-related post from the plurality of event-related posts; and

defining the subset of the plurality of event-related posts to include an event threshold number of event-related posts from the plurality of event-related posts having an interest level for the viewing user exceeding a threshold interest level value.

8. The method of claim 7, wherein the event threshold number is determined based on a number of content items in a single loaded page of the stream.

9. The method of claim 1, wherein the event-related posts comprise titles of events, geographic locations of the events, times of the events, and links to indicate plans to attend the events.

10. A non-transitory computer-readable medium comprising instructions which, when executed by one or more computers, cause the one or more computers to implement a method, the method comprising:

determining that a subset of a plurality of event-related posts corresponds to an upcoming event that is of interest to a viewing user based on a set of factors, each of the plurality of event-related posts being visible to the viewing user, wherein the plurality of event-related posts are related to a plurality of events, wherein a host of the upcoming event is two or more degrees of separation from the viewing user, wherein the viewing user is not invited to the upcoming event by the host, and wherein the set of factors comprises one or more factors related to an attendee indicating a plan to attend the upcoming event;

presenting the subset of the plurality of event-related posts within a stream for the viewing user;

generating an event invitation for the viewing user to attend the upcoming event to which the viewing user is not invited by the host; and

presenting the generated event invitation within the stream to the viewing user.

11. The non-transitory computer-readable medium of claim 10, wherein the plurality of events comprises at least one event having a host who is a first degree social contact of the viewing user.

12. The non-transitory computer-readable medium of claim 10, wherein the set of factors comprises one or more of:

the host of the upcoming event being a second degree contact of the viewing user, the attendee indicating the plan to attend the upcoming event or an invitee of the event being a first degree or second degree contact of the viewing user, or the viewing user having a predicted affinity level for the host, the attendee, or the invitee exceeding an affinity threshold.

13. The non-transitory computer-readable medium of claim 10, wherein the set of factors comprises one or more of:

the upcoming event having at least an invitee threshold number of invitees, the upcoming event having at least an attendee threshold number of attendees indicating plans to attend the upcoming event, the upcoming event having at least an endorsement threshold number of endorsements, the upcoming event having at least a comment threshold number of comments, or the upcoming event being within a threshold distance of a default geographic location of the viewing user.

14. The non-transitory computer-readable medium of claim 10, wherein determining that the subset of the plurality of event-related posts corresponds to an upcoming event that is of interest to the viewing user based on the set of factors comprises:

determining an interest level for the viewing user for each event-related post from the plurality of event-related posts; and

defining the subset of the plurality of event-related posts to include an event threshold number of events from the plurality of event-related posts having an interest level for the viewing user exceeding a threshold interest level value.

15. The non-transitory computer-readable medium of claim 14, wherein the event threshold number is determined based on a number of content items in a single loaded page of the stream.

16. The non-transitory computer-readable medium of claim 10, wherein the event-related posts comprise titles of events, geographic locations of the events, times of the events, and links to indicate plans to attend the events.

17. A system comprising:

one or more processors; and

a memory comprising instructions which, when executed by the one or more processors, cause the one or more processors to implement a method, the method comprising;

receiving a plurality of event-related posts, each of the plurality of event-related posts being visible to a viewing user, wherein the plurality of event-related posts are related to a plurality of events;

determining that a subset of the plurality of event-related posts corresponds to an upcoming event that is of interest to the viewing user based on a set of factors, wherein a host of the upcoming event is two or more degrees of separation from the viewing user, wherein the viewing user is not invited to the upcoming event by the host, and wherein the set of factors comprises one or more factors related to an attendee indicating a plan to attend the upcoming event;

receiving an input for presenting a stream for the viewing user;

presenting, in response to the input, the subset of the plurality of event-related posts within the stream for the viewing user;

generating an event invitation for the viewing user to attend the upcoming event to which the viewing user is not invited by the host; and

presenting the generated event invitation within the stream to the viewing user.

18. The system of claim 17, wherein the plurality of events comprises at least one event having a host who is a second degree contact of the viewing user.

19. The system of claim 17, wherein the set of factors comprises one or more of:

the host of the upcoming event being a second degree contact of the viewing user, the attendee indicating the plan to attend the upcoming event or an invitee of the upcoming event being a first degree or second degree contact of the viewing user, or the viewing user having a predicted affinity level for the host, the attendee, or the invitee exceeding an affinity threshold.

20. The system of claim 17, wherein the set of factors comprises one or more of:

the upcoming event having at least an invitee threshold number of invitees, the upcoming event having at least an attendee threshold number of attendees indicating plans to attend the upcoming event, the upcoming event having at least an endorsement threshold number of endorsements, the upcoming event having at least a comment threshold number of comments, or the upcoming event being within a threshold distance of a default geographic location of the viewing user.