SYSTEMS AND METHODS OF CONNECTING USERS WITH ATTENDEES AT A MEGA ATTENDANCE EVENT

• US 20140081882A1
• Filed: 08/30/2013
• Published: 03/20/2014
• Est. Priority Date: 09/14/2012
• Status: Abandoned Application

• Current Assignee: Salesforce.com, Inc.
• Original Assignee: Salesforce.com, Inc.
• Inventors: Govindaraman, Ashwini
• Application Number:
  US14/016,044
• Publication Number:
  US 20140081882A1
• Time in Patent Office: Days
• US Class Current: 705/319
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

The technology disclosed relates to identifying and notifying a user of nearby attendees at a mega attendance event who are in user'"'"'s social graph by comparing the user'"'"'s social graph to a list of event attendees. The identified attendees can be stratified into social graph tags that annotate, categorize and prioritize other users in the user'"'"'s social graph. The technology disclosed also relates to identifying and notifying the user of nearby attendees of sessions at the event who meet introduction preferences of the user by finding matches between introduction preference attributes specified by the user and attributes of the attendees provided by the list of event attendees.

Claims

1. A method of assisting a user attending a mega attendance event to connect with attendees of the event, the method including:

receiving a tagged social graph for a user attending a mega attendance event, wherein the event has at least 500 attendees and social graph tags apply to persons in user'"'"'s social graph;

accessing an attendee list for the mega attendance event;

automatically finding links between the persons in the user'"'"'s social graph and attendees of the mega attendance event;

automatically stratifying linked attendees using the social graph tags; and

reporting stratified linked attendees to a further computer-implemented process.

2. The method of claim 1, further including:

receiving a session registration for the user to attend sessions of the mega attendance event; and

automatically filtering the stratified linked attendees based on links between the persons in user'"'"'s social graph and attendees of sessions of the mega attendance event.

3. The method of claim 1, wherein the social graph tags include at least industry type(s), geographic territory(ies) and job function(s) that are of interest to the user.

4. The method of claim 1, wherein the social graph tags include at least skills and expertise that are of interest to the user.

5. The method of claim 1, wherein the social graph tags include person ranks based at least in part on social proximities of persons to the user as indicated in the user'"'"'s social graph and person categories based at least in part on grouping of persons in the user'"'"'s social graph.

6. The method of claim 1, wherein the social graph tags include person categories based at least in part on grouping of persons in the user'"'"'s social graph.

7. The method of claim 1, further including:

determining a geographic location of the user and attendees of the event based on their devices;

identifying the linked attendees who are in physical proximity to the user during the event; and

reporting identified attendees to the user across a user interface.

8. A method of assisting a user attending a mega attendance event to connect with attendees of the event, the method including:

verifying a user'"'"'s registration to attend a mega attendance event, wherein the mega attendance event has at least 500 attendees;

receiving a set of introduction preference attributes;

accessing the introduction preference attributes, an attendee list for the mega attendance event and attributes of the attendees of the event;

automatically finding matches between the introduction preference attributes and attendees'"'"' attributes; and

reporting results of the finding matches to a further computer-implemented process.

9. The method of claim 8, wherein the introduction preference attributes are assembled from an external source for the attendees.

10. The method of claim 8, wherein the introduction preference attributes include at least industry type(s), geographic territory(ies) and job function(s) that are of interest to verified user.

11. The method of claim 8, wherein the introduction preference attributes include at least skills and expertise that are of interest to the verified user.

12. The method of claim 8, wherein the introduction preference attributes include at least service providers that are verified user'"'"'s competitors.

13. The method of claim 8, further including prioritizing the results of the finding matches based at least in part on social proximities of attendees to the verified user as indicated in verified user'"'"'s social graph.

14. The method of claim 8, further including categorizing the results of the finding matches based at least in part on grouping of attendees in verified user'"'"'s social graph.

15. The method of claim 8, further including annotating the results of the finding matches to indicate what attributes of the attendees of the event match the introduction preference attributes.

16. The method of claim 8, further including:

determining a geographic location of the verified user and attendees of the event based on their devices;

identifying attendees whose attributes match the introduction preference attributes and who are in physical proximity to the verified user during the event; and

reporting identified attendees to the verified user across a user interface.

17. A method of assisting a user attending a mega attendance event to connect with attendees of the event, the method including:

receiving a user'"'"'s registration to attend sessions at a mega attendance event, wherein the mega attendance event has at least 500 attendees;

receiving a set of introduction preference attributes;

accessing an attendee list for the mega attendance event;

automatically finding matches between the introduction preference attributes and attributes of attendees of the sessions; and

reporting results of the finding matches to a further computer-implemented process.

18. The method of claim 17, wherein the introduction preference attributes are assembled from an external source for the attendees of the sessions.

19. The method of claim 17, wherein the introduction preference attributes include at least industry type(s), geographic territory(ies) and job function(s) that are of interest to the user.

20. The method of claim 17, wherein the introduction preference attributes include at least skills and expertise that are of interest to the user and service providers that are user'"'"'s competitors.