Systems and Methods to Use Rules and Constraints for Service Consolidation

• US 20100191572A1
• Filed: 01/26/2009
• Published: 07/29/2010
• Est. Priority Date: 01/26/2009
• Status: Abandoned Application

• Current Assignee: Deem, Incorporated (Jack Taylor Family Voting Trust U A D 4 14 99)
• Original Assignee: Rearden Commerce Inc
• Inventors: KAO, Andrew, MUNTER, Aaron, NEWMAN, Patrick
• Application Number:
  US12/360,040
• Publication Number:
  US 20100191572A1
• Time in Patent Office: Days
• US Class Current: 705/12
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 50/10 Services
• CPC Class Codes: G06Q 50/12 Hotels or restaurants

Abstract

Systems and methods to consolidate user preferences for a service and make suggestions for options related to the service. In one aspect, a computer-implemented method includes: storing preferences of a plurality of users for a service; storing past options that have been previously selected for the service; in response to a request for the service for a subset of the users, combining the preferences of the subset of the users to generate a preference set for the subset of the users, based on a set of predetermined rules, using a computer; and selecting an option based on the preference set generated for the subset of users and the past options that have been previously selected for the service, using the computer.

Claims

1. A computer-implemented method, comprising:

storing preferences of a plurality of users for a service;

storing past options that have been previously selected for the service;

in response to a request for the service for a subset of the users, combining the preferences of the subset of the users to generate a preference set for the subset of the users, based on a set of predetermined rules, using a computer; and

selecting an option based on the preference set generated for the subset of users and the past options that have been previously selected for the service, using the computer.

2. The method of claim 1, further comprising:

presenting the option to the subset of the users.

3. The method of claim 2, further comprising:

receiving votes from the subset of the users; and

determining whether the option is approved based on the votes from the subset of the users.

4. The method of claim 3, further comprising:

in response to the option being rejected by the votes from the subset of the users, determining an alternative option based on the preference set generated for the subset of users and the past options that have been previously selected for the service, using the computer.

5. The method of claim 3, further comprising:

in response to the option being approved by the votes from the subset of the users, placing an order of the service by the computer.

6. The method of claim 5, wherein the service comprises a meal service.

7. The method of claim 2, wherein the option is presented to the subset of users via email.

8. The method of claim 2, wherein the option is presented to the subset of users via short message service (SMS).

9. The method of claim 1, wherein the selecting of the option is based on historic fairness in view of the past options that have been previously selected for the subset of the users.

10. The method of claim 1, further comprising:

randomizing the preference set generated for the subset of the users to select the option.

11. The method of claim 1, wherein the preferences includes positive preferences and negative preferences.

12. The method of claim 1, wherein the option is selected based further on ratings of providers of the service.

13. The method of claim 1, wherein the selecting of the option includes excluding at least one option when the at least one option has been used with a predetermined period of time.

14. The method of claim 1, wherein the option is selected based further on a budgetary constraint rule.

15. The method of claim 14, wherein the budgetary constraint rule is based on identities of the subset of the users.

16. The method of claim 1, wherein the set of predetermined rules include at least one of:

medical restrictions, religious restrictions, and cultural restrictions.

17. The method of claim 1, further comprising:

receiving preferences of at least one guest;

wherein the option is selected based further upon the preferences of the at least one guest.

18. The method of claim 1, further comprising:

receiving at least one request from at least one of the users to join the subset, wherein the subset is identified based on at least one request.

19. A computer-readable media storing instructions, the instructions causing a computer to perform a method, the method comprising:

storing preferences of a plurality of users for a service;

storing past options that have been previously selected for the service;

in response to a request for the service for a subset of the users, combining the preferences of the subset of the users to generate a preference set for the subset of the users, based on a set of predetermined rules; and

selecting an option based on the preference set generated for the subset of users and the past options that have been previously selected for the service.

20. A computer system, comprising:

a means for storing preferences of a plurality of users for a service;

a means for storing past options that have been previously selected for the service;

a means for combining the preferences of a subset of the users to generate a preference set for the subset of the users, based on a set of predetermined rules, in response to a request for the service for the subset of the users; and

a means for selecting an option based on the preference set generated for the subset of users and the past options that have been previously selected for the service.