TRAVEL CALORIE RECOMMENDATION

• US 20190311650A1
• Filed: 04/04/2018
• Published: 10/10/2019
• Est. Priority Date: 04/04/2018
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Gallagher, Aiden J., Garratt, Andrew M., Hay, David M.
• Application Number:
  US15/944,949
• Publication Number:
  US 20190311650A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G09B 19/0092 Nutrition
• CPC Class Codes: G09B 5/02 with visual presentation of the material to be studied, e.g. using film strip
• CPC Class Codes: G09B 5/04 with audible presentation of the material to be studied sound recording or reproducing G11B

Abstract

A system and method may generate a set of meal recommendations. A calorie remainder for a predetermined period of time may be identified based on health data. Restaurant recommendations may be identified using map data, and meal recommendations and their correlated caloric content may be identified based on restaurant data. A caloric expenditure for travel to each of the restaurants may be determined by the system. Finally a set of meal recommendations is generated, using the meals, the caloric remainder, and the caloric expenditure for travel.

Claims

1. A method comprising:

identifying, based on a set of health data, a calorie remainder for a predetermined period of time;

identifying, based on a set of map data, a set of restaurant recommendations;

identifying, based on a set of restaurant data, a set of calories correlated to a set of meals at each of the restaurants;

determining, using the map data and the health data, a caloric expenditure for travel to each restaurant; and

generating, based on the caloric expenditure for travel, the set of meals and the correlated set of calories, and the caloric remainder for the predetermined period of time, a set of meal recommendations.

2. The method of claim 1, further comprising displaying the recommendations via a user interface.

3. The method of claim 1, wherein the caloric expenditure comprises a set of caloric expenditures for a variety of travel options.

4. The method of claim 3, wherein the travel options include biking.

5. The method of claim 3, wherein the travel options include walking at a particular average speed.

6. The method of claim 1, wherein the travel comprises a single trip.

7. The method of claim 1, wherein the travel comprises a return trip.

8. A system comprising:

a caloric expenditure engine configured to;

identify, based on a set of health data, a calorie remainder for a predetermined period of time;

identify, based on a set of map data, a set of restaurant recommendations; and

a meal generative engine configured to;

identify, based on a set of restaurant data, a set of calories correlated to a set of meals at each of the restaurants;

determine, using the map data and the health data, a caloric expenditure for travel to each restaurant; and

generate, based on the caloric expenditure for travel, the set of meals and the correlated set of calories, and the caloric remainder for the predetermined period of time, a set of meal recommendations.

9. The system of claim 8, further comprising an input/output and display engine configured to display the recommendations via a user interface.

10. The system of claim 8, wherein the caloric expenditure comprises a set of caloric expenditures for a variety of travel options.

11. The system of claim 10, wherein the travel options include biking.

12. The system of claim 10, wherein the travel options include walking at a particular average speed.

13. The system of claim 8, wherein the travel comprises a single trip.

14. The system of claim 8, wherein the travel comprises a return trip.

15. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processor to cause the processor to perform a method comprising:

identifying, based on a set of health data, a calorie remainder for a predetermined period of time;

identifying, based on a set of map data, a set of restaurant recommendations;

identifying, based on a set of restaurant data, a set of calories correlated to a set of meals at each of the restaurants;

determining, using the map data and the health data, a caloric expenditure for travel to each restaurant; and

generating, based on the caloric expenditure for travel, the set of meals and the correlated set of calories, and the caloric remainder for the predetermined period of time, a set of meal recommendations.

16. The computer program product of claim 15, wherein the method further comprises displaying the recommendations via a user interface.

17. The computer program product of claim 15, wherein the caloric expenditure comprises a set of caloric expenditures for a variety of travel options.

18. The computer program product of claim 17, wherein the travel options include biking.

19. The computer program product of claim 15, wherein the travel comprises a single trip.

20. The computer program product of claim 15, wherein the travel comprises a return trip.