AVATAR HAVING ARTIFICIAL INTELLIGENCE FOR IDENTIFYING AND PROVIDING MEAL RECOMMENDATIONS

• US 20140127651A1
• Filed: 06/25/2013
• Published: 05/08/2014
• Est. Priority Date: 11/02/2012
• Status: Abandoned Application

• Current Assignee: Robert Brazell
• Original Assignee: Robert Brazell
• Inventors: Brazell, Robert
• Application Number:
  US13/926,947
• Publication Number:
  US 20140127651A1
• Time in Patent Office: Days
• US Class Current: 434/127
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets

Abstract

The present invention extends to methods, systems, and computer program products for implementing an avatar having artificial intelligence for identifying and providing meal recommendations. The avatar acts as an electronic representation of a user. The avatar searches available information and makes recommendations to the user based on initial input, the user'"'"'s response to previous recommendations regarding meals, and/or other information regarding the user. In this way, the avatar continually learns more about the user to improve future recommendations regarding meals that the user will enjoy and also meals that meet a user'"'"'s nutritional requirements or dietary goals. Accordingly, the avatar can make many meal related decisions for the user that, given the learning the avatar can obtain, can closely approximate the decisions the user himself would make.

Claims

1. A method, performed by one or more computing devices, for providing a meal recommendation to a user, the method comprising;

receiving user input that identifies one or more characteristics of a user, the one or more characteristics related to the user'"'"'s preferences for meals;

identifying information regarding a plurality of meals;

using the one or more characteristics of the user to identify one or more meals to recommend to the user; and

providing a recommendation for at least one of the one or more identified meals.

2. The method of claim 1, wherein the one or more characteristics comprise one or more of:

an indication that the user enjoys the flavor of one or more meals;

an indication of one or more ingredients that the user enjoys;

an indication of which meals the user prefers at which times of day;

an indication that the user enjoyed a meal that was previously recommended;

or

an indication of ingredients the user has available.

3. The method of claim 1, wherein the one or more characteristics comprise a modification that the user made to a meal that was previously recommended.

4. The method of claim 1, wherein the one or more characteristics comprise one or more of:

an indication of an activity that the user engaged in or will engage in before, during, or after consuming a recommended meal;

an indication of a quality of a meal that the user prefers when the meal will be consumed in proximity to an activity the user will engage in;

or

an indication of a health goal or dietary goal of the user.

5. The method of claim 1, wherein the information regarding a plurality of meals comprises ingredients of the plurality of meals.

6. The method of claim 1, wherein the information regarding a plurality of meals comprises nutritional information of the plurality of meals.

7. The method of claim 1, wherein the information regarding a plurality of meals comprises feedback received from other users regarding the plurality of meals.

8. The method of claim 7, wherein the feedback includes one or more characteristics of the other users regarding the other users'"'"' preferences for meals.

9. The method of claim 1, wherein the information regarding a plurality of meals comprises availability of ingredients required by at least one of the plurality of meals.

10. The method of claim 1, wherein using the one or more characteristics of the user to identify one or more meals to recommend to the user comprises:

matching the one or more characteristics of the user to the information regarding the one or more meals.

11. The method of claim 10, wherein the information regarding the one or more meals comprises feedback provided by the user regarding the one or more meals or one or more related meals.

12. The method of claim 11, wherein the feedback comprises an indication that the user enjoyed a meal having similar ingredients.

13. The method of claim 11, wherein the one or more characteristics comprise an indication of an activity that the user engaged in or will engage in before, during, or after consuming a recommended meal, and wherein the feedback comprises an indication that the user enjoyed a meal that was consumed before, during, or after the user engaged in the activity at a previous time.

14. The method of claim 1, wherein providing a recommendation includes providing a list of all ingredients that are required to prepare the one or more identified meals.

15. The method of claim 14, wherein providing a recommendation further includes providing an indication of one or more retail locations where the ingredients can be obtained.

16. The method of claim 15, wherein providing a recommendation further includes providing a route within a particular retail location for obtaining the ingredients.

17. The method of claim 15, wherein providing a recommendation further comprises providing an advertisement or coupon related to one of the ingredients or to one of the retail locations.

18. A method, performed by one or more computing devices, for providing a meal recommendation to a user, the method comprising;

receiving user input that identifies one or more characteristics of a user, the one or more characteristics defining food or meal preferences of the user;

identifying information regarding a plurality of meals, the information comprising one or more ingredients of each of the meals;

for at least one of the plurality of meals, identifying that the meal contains one or more ingredients that the user prefers as defined by the one or more characteristics of the user; and

providing a recommendation for the at least one meal.

19. The method of claim 18, further comprising:

receiving user input that specifies that the user prepared and enjoyed at least one of the at least one recommended meal; and

updating the one or more characteristics of the user based on the user input that specifies that the user enjoyed at least one of the at least one recommended meal.

20. A method, performed by one or more computing devices, for providing a meal recommendation to a user based on user input that indicates that the user enjoyed one or more previously recommended meals, the method comprising;

displaying, to a user, one or more meal recommendations;

receiving input from the user that identifies that the user prepared and enjoyed at least one of the one or more meal recommended meals;

identifying one or more characteristics of the at least one recommended meal that the user enjoyed;

searching information about a plurality of meals to identify one or more additional meals that share the one or more characteristics with the at least one recommended meal that the user enjoyed; and

for at least one of the one or more additional meals, displaying a recommendation to the user, the recommendation indicating that the user is likely to enjoy the additional meal based on the identification that the user enjoyed that at least one of the one or more recommended meals.