Generating Recommendations Based On Hospitality Customer Feedback

• US 20140279199A1
• Filed: 06/24/2013
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: Monscierge Incorporated
• Original Assignee: Monscierge Incorporated
• Inventors: Robinson, Marcus Lee, Lewis, Nathaniel Paul, Ready, John Spencer, Marold, Kenneth Richard, Texter, James Russell III
• Application Number:
  US13/925,707
• Publication Number:
  US 20140279199A1
• Time in Patent Office: Days
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/083 Shipping
• CPC Class Codes: G06Q 30/0259 based on store location
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

Method, system, and computer program product embodiments are disclosed for generating recommendations to hospitality customers. Defining steps include enabling a customer to select a particular business from among one or more businesses at a mobile device utilized by the customer, configuring the customer'"'"'s mobile device to receive a recommendation from the customer, and providing the recommendation to a user at the particular business for review, wherein the recommendation is selectable for public review by potential customers requesting information about the particular business.

Claims

1. A computer implemented method for generating recommendations from content provided by customers comprising:

enabling a customer to select a particular business from among one or more businesses at a mobile device utilized by the customer;

upon a particular business being chosen from among the one or more businesses, configuring the customer'"'"'s mobile device to receive a recommendation from the customer, wherein the recommendation is generated from content provided by the customer; and

providing the recommendation to a user at the particular business, wherein the recommendation is selectable for public review by potential customers requesting information about the particular business.

2. The method recited in claim 1, wherein the customer assigns one or more categories to the recommendation, wherein the providing the recommendation includes providing the recommendation with the one or more assigned categories.

3. The method recited in claim 1, wherein the customer selects a rating for the recommendation, wherein the providing the recommendation includes providing the recommendation with the selected rating.

4. The method recited in claim 1, wherein the customer inputs a tip for the recommendation, wherein the customer inputs a tip for the recommendation, wherein the providing the recommendation includes providing the recommendation with the inputted tip.

5. The method recited in claim 1, wherein the customer attaches a photo to the recommendation, wherein the providing the recommendation includes providing the recommendation with the attached photo.

6. The method recited in claim 1, further comprising:

receiving the one or more businesses that are enabled to be selected by the customer, wherein the one or more businesses are geolocated within a predefined distance of a geolocation of the customer'"'"'s mobile device.

7. The method recited in claim 6, further comprising:

configuring the mobile device to receive a recommendation from the customer related to the geolocation of the mobile device.

8. A system comprising:

at least one processor configured to perform operations comprising;

enabling a customer to select a particular business from among one or more businesses at a mobile device utilized by the customer;

upon a particular business being chosen from among the one or more businesses, configuring the customer'"'"'s mobile device to receive a recommendation from the customer, wherein the recommendation is generated from content provided by the customer; and

providing the recommendation to a user at the particular business, wherein the recommendation is selectable for public review by potential customers requesting information about the particular business.

9. The system recited in claim 8, wherein the customer assigns one or more categories to the recommendation, wherein the providing the recommendation includes providing the recommendation with the one or more assigned categories.

10. The system recited in claim 8, wherein the customer selects a rating for the recommendation, wherein the providing the recommendation includes providing the recommendation with the selected rating.

11. The system recited in claim 8, wherein the customer inputs a tip for the recommendation, wherein the providing the recommendation includes providing the recommendation with the inputted tip.

12. The system recited in claim 8, wherein the customer attaches a photo to the recommendation, wherein the providing the recommendation includes providing the recommendation with the attached photo.

13. The system recited in claim 8, wherein the at least one processor is further configured to perform operations comprising:

receiving the one or more businesses that are enabled to be selected by the customer, wherein the one or more businesses are geolocated within a predefined distance of a geolocation of the customer'"'"'s mobile device.

14. The system recited in claim 13, wherein the at least one processor is farther configured to perform operations comprising:

configuring the customer'"'"'s mobile device to receive a recommendation from the customer related to the geolocation of the mobile device.

15. A non-transitory computer-readable medium having one or more instructions stored thereon, that when executed by a computing device, cause the computing device to perform operations comprising:

enabling a customer to select a particular business from among one or more businesses at a mobile device utilized by the customer;

upon a particular business being chosen from among the one or more businesses, configuring the customer'"'"'s mobile device to receive a recommendation from the customer, wherein the recommendation is generated from content provided by the customer; and

providing the recommendation to a user at the particular business, wherein the recommendation is selectable for public review by potential customers requesting information about the particular business.

16. The non-transitory computer-readable medium recited in claim 15, wherein the customer assigns one or more categories to the recommendation, wherein the providing the recommendation includes providing the recommendation with the one or more assigned categories.

17. The non-transitory computer-readable medium recited in claim 15, wherein the customer selects a rating for the recommendation, wherein the providing the recommendation includes providing the recommendation with the selected rating.

18. The non-transitory computer-readable medium recited in claim 15, wherein the customer inputs a tip for the recommendation, wherein the providing the recommendation includes providing the recommendation with the inputted tip.

19. The non-transitory computer-readable medium recited in claim 15, wherein the customer attaches a photo to the recommendation, wherein the providing the recommendation includes providing the recommendation with the attached photo.

20. The non-transitory computer-readable medium recited in claim 15, the operations further comprising:

receiving the one or more businesses that are enabled to be selected by the customer, wherein the one or more businesses are geolocated within a predefined distance of a geolocation of the customer'"'"'s mobile device.

21. The non-transitory computer-readable medium recited in claim 20, the operations further comprising:

configuring the customer'"'"'s mobile device to receive a recommendation from the customer related to the geolocation of the mobile device.