INTELLIGENT SEAT RECOMMENDATION

• US 20130124234A1
• Filed: 11/10/2011
• Published: 05/16/2013
• Est. Priority Date: 11/10/2011
• Status: Abandoned Application

• Current Assignee: eBay Inc.
• Original Assignee: StubHub, Inc.
• Inventors: Nilsson, Mats, Streich, Brian, Ghazizadeh, Mehdi
• Application Number:
  US13/293,854
• Publication Number:
  US 20130124234A1
• Time in Patent Office: Days
• US Class Current: 705/5
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions

Abstract

Ticket recommendations are provided based on user preferences, which can include user-set preferences and preferences based on user history. Preferences are compared with ticket information such as comments by other users of specific seats and areas, price, location near friends of the user, location near venue establishments, etc. After a ticket is purchased, recommendations of areas outside the venue may be provided to the user. In another embodiment, a user is presented with advantages and/or disadvantages of events outside the original event of interest.

Claims

1. A method of providing a ticket service to a user, comprising:

determining, by a processor of a ticket provider, preferences for the user;

applying, by the processor, one or more of the preferences to a ticket inventory; and

providing, electronically by the ticket provider, one or more recommendations based on the applying to the user through a user device.

2. The method of claim 1, wherein the preferences comprise user-set preferences and preferences based on user history.

3. The method of claim 1, further comprising processing a purchase of tickets by the user.

4. The method of claim 1, further comprising receiving, from the user, an indication of interest in an event.

5. The method of claim 4, wherein the applying is to a ticket inventory for the event.

6. The method of claim 2, wherein the user-set preferences comprise desired features for seats.

7. The method of claim 2, wherein the user history comprises purchases and searches made by the user for tickets.

8. The method of claim 1, wherein the ticket inventory comprises information about seat prices, seat location, seat view, seat traits, and seat surroundings.

9. The method of claim 8, wherein the information is obtained from other users.

11. The method of claim 1, further comprising providing recommendations to the user of areas outside the venue after a ticket has been purchased by the user.

12. The method of claim 11, wherein the areas include parking lots and gates.

10. The method of 1, further comprising recommending seats near seats purchased by friends of the user.

13. A non-transitory machine-readable medium comprising a plurality of machine-readable instructions which when executed by one or more processors of a server are adapted to cause the server to perform a method comprising:

determining, by a ticket provider, preferences for the user;

applying one or more of the preferences to a ticket inventory; and

providing, by the ticket provider, one or more recommendations based on the applying to the user.

14. The non-transitory machine-readable medium of claim 13, wherein the preferences comprise user-set preferences and preferences based on user history.

15. The non-transitory machine-readable medium of claim 13, wherein the applying is to a ticket inventory for an event of interest to the user.

16. The non-transitory machine-readable medium of claim 14, wherein the user-set preferences comprise desired features for seats.

17. The non-transitory machine-readable medium of claim 14, wherein the user history comprises purchases and searches made by the user for tickets.

18. The non-transitory machine-readable medium of claim 13, wherein the ticket inventory comprises information about seat prices, seat location, seat view, seat traits, and seat surroundings obtained from other users.

19. The non-transitory machine-readable medium of claim 13, wherein the method further comprises recommending seats near seats purchased by friends of the user.

20. The non-transitory machine-readable medium of claim 13, wherein the method further comprises providing recommendations to the user of areas outside the venue after a ticket has been purchased by the user.

21. A network-based system comprising:

one or more servers to electronically deliver ticket recommendations to a user in response to determining, by a ticket provider, preferences for the user;

applying one or more of the preferences to a ticket inventory; and

determining seat recommendations based on the applying.

22. A method of providing ticket services to a user comprising:

determining, by a processor of a ticket provider, at least one event of interest to the user;

searching for tickets for the at least one event and other events related to the at least one event;

determining advantages and disadvantages of the tickets found in the searching; and

presenting, electronically by the ticket provider, at least an advantage or a disadvantage for at least one of the tickets found for the other events.

23. The method of claim 22, further comprising presenting recommendations to the user based on user preferences.

24. The method of claim 22, wherein the advantages and disadvantages are based on preferences specific to the user.

25. The method of claim 22, wherein the advantages and disadvantages are based on general preferences of an average user.