Pull-type searching system

• US 10,395,276 B1
• Filed: 03/15/2013
• Issued: 08/27/2019
• Est. Priority Date: 09/07/2012
• Status: Active Grant

• Current Assignee: Groupon Incorporated
• Original Assignee: Groupon Incorporated
• Inventors: Fulghum, Jordan, Gilfanov, Ruslan, Holden, Jeffrey Alan, Mason, Andrew, Silber, Ian, Vadon, Eric
• Primary Examiner(s): Cao, Vincent M
• Application Number:
  US13/842,379
• Time in Patent Office: 2,356 Days
• CPC Class Codes: G06Q 10/02 Reservations, e.g. for tickets, services or events
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0217 involving input on products or services in exchange for incentives or rewards
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0257 User requested

Abstract

The pull-type searching system provides an effective and efficient way to navigate deals and assist the user in identifying a deal for selection. The pull-type searching system further enables identification of one or more alternative deals to present to the user when no deals are identified for the selected search criteria. The pull-type searching system includes a method and apparatus. The method includes communicating ordered selectable search criteria, the search criteria including one or more categories, subcategories and deal types based on a user profile or available deals, or redemption goals. The method further includes receiving a selection from the search criteria and searching a deals database for results associated with the selection. Further, the method includes communicating the results associated with the selection, one or more alternative categories, or one or more alternative deals. A similar apparatus is provided.

Claims

1. An apparatus comprising at least one processor and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to:

electronically communicate, by an analytical model of a promotion searching server, ordered selectable search criteria, the search criteria including categories of deals relating to a first taxonomy for classifying deals, deal types relating to a second taxonomy for classifying deals that is different from the first taxonomy, and a keyword field;

receive, by the analytical model from a user device over a network, a selection from the search criteria;

search, by the analytical model, a deals database for deals associated with the selection;

in an instance in which the selection includes one or more selected category of deals,

indirectly identify, by the analytical model, additional deal types based on the deals associated with the selection,

arrange, by the analytical model, the additional deal types based on a user profile associated with the user device, and

electronically communicate, by the analytical model, the arranged additional deal types and the deals associated with the selection; and

in an instance in which the selection includes one or more selected deal type,

indirectly identify, by the analytical model, additional categories of deals based on the deals associated with the selection,

arrange, by the analytical model, the additional categories of deals based on the user profile associated with the user device, and

electronically communicate, by the analytical model, the arranged additional categories of deals and the deals associated with the selection.

2. The apparatus of claim 1, wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus to arrange, by the analytical model, the additional categories of deals is-further based on the deals associated with the selection.

3. The apparatus of claim 1, wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus to perform, by the analytical model, dynamic binning to determine the ordered selectable search criteria to communicate.

4. The apparatus of claim 1, wherein the selection includes one or more keywords and one or more non-keywords, and wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus to search, by the analytical model, the deals database for deals associated with the selection by:

distinguishing, by the analytical model, between the one or more keywords and the one or more non-keywords, wherein the non-keywords include adjectives used to described the keywords; and

searching, by the analytical model, the deals database using the one or more keywords.

5. The apparatus of claim 1, wherein the search criteria further includes one or more redemption goals, wherein a redemption goal comprises a time for redemption of a deal.

6. A computer-implemented method comprising:

electronically communicating, by an analytical model of a promotion searching server, ordered selectable search criteria, the search criteria including categories of deals relating to a first taxonomy for classifying deals, deal types relating to a second taxonomy for classifying deals based on a description of a personality of a consumer, and a keyword field;

receiving, by the analytical model from a user device over a network, a selection from the search criteria;

searching, by the analytical model, a deals database for deals associated with the selection;

in an instance in which the selection includes one or more selected category of deals,

indirectly identifying, by the analytical model, additional deal types based on the deals associated with the selection,

arranging, by the analytical model, the additional deal types based on a user profile associated with the user device, and

electronically communicating, by the analytical model, the arranged additional deal types and the deals associated with the selection; and

in an instance in which the selection includes one or more selected deal type,

indirectly identifying, by the analytical model, additional categories of deals based on the deals associated with the selection,

arranging, by the analytical model, the additional categories of deals based on the user profile associated with the user device, and

electronically communicating, by the analytical model, the arranged additional categories of deals and the deals associated with the selection.

7. The computer-implemented method of claim 6, wherein, in an instance in which categories of deals and deal types are directly correlated, the arranging the additional categories of deals comprises arranging, by the analytical model, the additional categories of deals further based on the one or more selected deal type.

8. The computer-implemented method of claim 6, wherein, in an instance in which categories of deals and deal types are indirectly correlated, the arranging the additional categories of deals comprises arranging, by the analytical model, the additional categories of deals further based on the deals associated with the selection.

9. The computer-implemented method of claim 6, further comprising:

performing, by the analytical model, dynamic binning to determine the ordered selectable search criteria to communicate.

10. The computer-implemented method of claim 6, wherein the selection includes one or more keywords and one or more non-keywords, and wherein the searching, by the analytical model, the deals database for deals associated with the selection includes:

distinguishing, by the analytical model, between the one or more keywords and the one or more non-keywords, wherein the non-keywords include adjectives used to described the keywords; and

searching, by the analytical model, the deals database using the one or more keywords.

11. The computer-implemented method of claim 6, wherein the search criteria further includes one or more redemption goals, wherein a redemption goal comprises a time for redemption of a deal.

12. The computer-implemented method of claim 6, wherein the arranging the additional deal types comprises arranging, by the analytical model, the additional deal types further based on the deals associated with the selection.

13. A non-transitory computer-readable medium storing a set of instructions that, when executed by a computer system, causes the computer system to:

electronically communicate, by an analytical model of a promotion searching server, ordered selectable search criteria, the search criteria including categories of deals relating to a first taxonomy for classifying deals, deal types relating to a second taxonomy for classifying deals based on a description of a personality of a consumer, and a keyword field;

receive, by the analytical model from a user device over a network, a selection from the search criteria;

search, by the analytical model, a deals database for deals associated with the selection;

in an instance in which the selection includes one or more selected category of deals,

indirectly identify, by the analytical model, additional deal types based on the deals associated with the selection,

arrange, by the analytical model, the additional deal types based on a user profile associated with the user device, and

electronically communicate, by the analytical model, the arranged additional deal types and the deals associated with the selection; and

in an instance in which the selection includes one or more selected deal type,

indirectly identify, by the analytical model, additional categories of deals based on the deals associated with the selection,

arrange, by the analytical model, the additional categories of deals based on the user profile associated with the user device, and

electronically communicate, by the analytical model, the arranged additional categories of deals and the deals associated with the selection.

14. The non-transitory computer-readable medium of claim 13, wherein, in an instance in which categories of deals and deal types are directly correlated, the set of instructions, when executed by the computer system, further cause the computer system to arrange, by the analytical model, the additional categories of deals based on the one or more selected deal type.

15. The non-transitory computer-readable medium of claim 13, wherein, in an instance in which categories of deals and deal types are indirectly correlated, the set of instructions, when executed by the computer system, further cause the computer system to arrange, by the analytical model, the additional categories of deals based on the deals associated with the selection.

16. The non-transitory computer-readable medium of claim 13, wherein the set of instructions, when executed by the computer system, further causes the computer system to perform, by the analytical model, dynamic binning to determine the ordered selectable search criteria to communicate.

17. The non-transitory computer-readable medium of claim 13, wherein the selection includes one or more keywords and one or more non-keywords, and wherein the set of instructions, when executed by the computer system, further causes the computer system to search, by the analytical model, the deals database for deals associated with the selection by:

distinguishing, by the analytical model, between the one or more keywords and the one or more non-keywords, wherein the non-keywords include adjectives used to described the keywords; and

searching, by the analytical model, the deals database using the one or more keywords.

18. The non-transitory computer-readable medium of claim 13, wherein arranging the additional deal types is based on the deals associated with the selection.