IP Library Granted Patent US 11,978,127
Granted Patent B2
US 11,978,127 · App. 17/372,194 · Granted May 7, 2024

User-specific event popularity map

Inventors: Ramon Elias (Walnut Creek, CA); Matthew B. Gustke (Greenbrae, CA); Srini Venkatesan (San Jose, CA)
Assignee: StubHub, Inc.
G06Q50/01G06Q10/1095G06Q30/0201G06Q10/109
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Quick Facts
Patent No.
US 11,978,127
App. No.
17/372,194
Granted
May 7, 2024
Kind
B2
Abstract

Information can be provided in a convenient manner to help a user decide what events to attend. The information can include information regarding a popularity of the events. The popularity of the events can be based upon the number of people expected to attend, the number of the user's friends expected to attend, and/or the number of people fitting user-defined criteria who are expected to attend. The events for a user-specified time period can be shown on a map along with information representing the popularity of the events. Thus, the user can choose to attend those events in the user's area which are more popular. The map can be displayed on a user device, such as a cellular telephone. In this manner, the user can more readily attend those particular events which the user is more likely to enjoy.

Claims (61)

1. A system comprising:

a non-transitory memory storing an upcoming event information for multiple upcoming events and a map information for a geographic area associated with a venue; and

one or more hardware processors in communication with the non-transitory memory and configured to execute instructions to perform operations, the operations comprising:

selecting an upcoming event from the upcoming events at the venue using the upcoming event information;

obtaining a popularity criterion defined by a user, the popularity criterion including a social attribute of a potential attendee of the upcoming event;

determining, for the upcoming event, an expected attendee based on one or more individuals that have purchased tickets to the upcoming event and on a social attribute of the expected attendee;

generating an event popularity map for the user from the map information using the popularity criterion defined by the user and a number of expected attendees for each of the upcoming events;

determining the number of expected attendees for each of the upcoming events based on a number of tickets sold for the upcoming events, a social media activity associated with the upcoming events, and an amount of online sales of associated proxy products for the upcoming events; and

providing the event popularity map to a user device associated with the user for display on the user device, wherein the event popularity map is further configured to generate supplemental window displays in response to a cursor movement in proximity to a portion of the event popularity map.

2. The system of claim 1 , wherein the operations further comprise:

determining a second upcoming event for an additional venue within the geographic area using the upcoming event information and the map information;

obtaining a second social attribute of a second expected attendee for the second upcoming event;

determining, for the second upcoming event, a second event popularity based on the second social attribute of the second expected attendee for the second upcoming event and the popularity criterion defined by the user; and

providing the second upcoming event on the event popularity map.

3. The system of claim 1 , wherein the event popularity map indicates a popularity of the upcoming event using one or more of:

a color of an event icon for the upcoming event and

a size of the event icon.

4. The system of claim 1 , wherein the social attributes included in the popularity criterion includes one or more of: an age, a gender, a likable criterion, a dislikable criterion, and of the potential attendees.

5. The system of claim 1 , wherein the social attribute included in the popularity criterion includes a friendship status with the user.

6. The system of claim 5 , wherein the social attribute of the expected attendee are obtained by the operations including:

accessing, for the user, a social network information; and

determining the friendship status of the expected attendee with the user using the social network information.

7. The system of claim 1 , wherein the one or more hardware processors are further configured to:

receive a communication including an indication of an event of interest to the user; and

send, to the user device, a communication including additional information regarding the event of interest to the user.

8. The system of claim 7 , wherein the event popularity map is generated in response to the upcoming event being the event of interest to the user.

9. A method comprising:

selecting, by a processor, an upcoming event from multiple upcoming events at a venue using an upcoming event information and a map information;

obtaining, by the processor, a popularity criterion defined by a user, the popularity criterion including a social attribute of a potential attendee of the upcoming event;

determining, by the processor, for the upcoming event, an expected attendee based on one or more individuals that have purchased tickets to the upcoming event and on a social attribute of the expected attendee;

generating, by the processor, an event popularity map for the user from the map information using the popularity criterion defined by the user and a number of expected attendees for each of the upcoming events;

determining, by the processor, the number of expected attendees for each of the upcoming events based on a number of tickets sold for the upcoming events, a social media activity associated with the upcoming events, and an amount of online sales of associated proxy products for the upcoming events; and

providing, by the processor, the event popularity map to a user device associated with the user for display on the user device, wherein the event popularity map is further configured to generate supplemental window displays in response to a cursor movement in proximity to a portion of the event popularity map.

10. The method of claim 9 , further comprising:

determining a second upcoming event for an additional venue within a geographic area using the upcoming event information;

obtaining second social attributes of attendees expected to attend the second upcoming event;

determining an event popularity for the second upcoming event based on the second social attributes of the attendees expected to attend the second upcoming event and the popularity criterion defined by the user; and

providing the second upcoming event on the event popularity map.

11. The method of claim 9 , wherein the event popularity map indicates a popularity of the upcoming event using one or more of:

a color of an event icon for the upcoming event and

a size of the event icon.

12. The method of claim 9 , wherein the social attributes included in the popularity criterion includes one or more of an age, a gender, a likable criterion, and a dislikable criterion of the potential attendees.

13. The method of claim 9 , wherein the social attribute of the expected attendee is obtained by:

accessing social network information for the user; and

determining a friendship status of the expected attendee with the user using the social network information.

14. A non-transitory, computer-readable medium storing instructions which, when executed by a processor in a computer, cause the computer to perform a method, the method comprising:

selecting an upcoming event from multiple upcoming events at a venue using an upcoming event information and a map information;

obtaining a popularity criterion defined by a user, the popularity criterion including a social attribute of a potential attendee of the upcoming event;

determining, for the upcoming event, an expected attendee based on one or more individuals that have purchased tickets to the upcoming event and on a social attribute of the expected attendee;

generating an event popularity map for the user from the map information using the popularity criterion defined by the user and a number of expected attendees for each of the upcoming events;

determining the number of expected attendees for each of the upcoming events based on a number of tickets sold for the upcoming events, a social media activity associated with the upcoming events, and an amount of online sales of associated proxy products for the upcoming events; and

providing the event popularity map to a user device associated with the user for display on the user device, wherein the event popularity map is further configured to generate a supplemental window display in response to a cursor movement in proximity to a portion of the event popularity map.

15. The non-transitory, computer-readable medium of claim 14 , wherein the method further comprises:

determining a second upcoming event for an additional venue using an upcoming event information;

obtaining a second social attribute of a second expected attendee for the second upcoming event;

determining, for the second upcoming event, a second event popularity based on the second social attribute of the second expected attendee for the second upcoming event and the popularity criterion defined by the user; and

providing the second upcoming event on the event popularity map.

16. The non-transitory, computer-readable medium of claim 14 wherein, in the method, obtaining the social attribute included in the popularity criterion includes identifying a friendship status with the user.

17. The non-transitory, computer-readable medium of claim 14 , wherein the method further includes:

accessing social network information for the user; and

determining a friendship status of the expected attendee with the user using the social network information.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 14, 2021
From: ELIAS, RAMON; GUSTKE, MATTHEW B.; VENKATESAN, SRINI
To: STUBHUB, INC.
Reel/Frame 056853/0154 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 14, 2021
From: STUBHUB, INC.
To: EBAY INC.
Reel/Frame 056853/0195 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 14, 2021
From: EBAY INC.
To: STUBHUB, INC.
Reel/Frame 056853/0228 →
Continuity (5)
Continuation 16257896 · Jan 25, 2019
Continuation 14987691 · Jan 4, 2016
Continuation 13631307 · Sep 28, 2012
Provisional Application 61540136 · Sep 28, 2011
Related Publication 20210334909A1 · Oct 28, 2021
Cited By (4)
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