Application US20190073601

RECOMMENDING MEALS FOR A SELECTED GROUP
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US20190073601

1. A method, by a processor, for recommending meals in a computing environment, comprising: (5) (2)

receiving a collaboration of data capturing a plurality of factors of a group user profile for each user in a group of users for aiding in recommending one or more meals; and

recommending the one or more meals for the group of users according to the group user profile such that the recommending balances a satisfaction level for the one or more meals for the group of users.

2. The method of claim 1, further including determining the satisfaction level for each of the one or more meals that are recommended according to each group user profile. (0)

3. The method of claim 1, further including determining the satisfaction level for each of the one or more previously requested meals by comparing the group user profile for each user to each of the one or more previously requested meals. (0)

4. The method of claim 1, further including defining the satisfaction level according to the plurality of factors, wherein the plurality of factors includes a plurality of eating preferences, nutritional constraints, one or more health constraints, one or more meal types, one or more available meals, cooking skills of each user, time constraints of each user, preparation time for the one or more meal types, or a combination thereof and each of the plurality of factors are weighted values. (0)

5. The method of claim 1, further including collecting feedback information from the group of users for determining the satisfaction level for each of the one or more previously requested meals or the one or more meals that are recommended. (1) (0)

7. The method of claim 1, further including displaying in real time, via an interactive graphical user interface (GUI), the collaboration of data, the one or more meals recommended for the group of users, the satisfaction level, or a combination thereof. (0)

8. A system for recommending meals, comprising: (5) (1)

one or more computers with executable instructions that when executed cause the system to: receive a collaboration of data capturing a plurality of factors of a group user profile for each user in a group of users for aiding in recommending one or more meals; and

recommend the one or more meals for the group of users according to the group user profile such that the recommending balances a satisfaction level for the one or more meals for the group of users.

9. The system of claim 8, wherein the executable instructions determine the satisfaction level for each of the one or more meals that are recommended according to each group user profile. (0)

10. The system of claim 8, wherein the executable instructions determine the satisfaction level for each of the one or more previously requested meals by comparing the group user profile for each user to each of the one or more previously requested meals. (0)

11. The system of claim 8, wherein the executable instructions define the satisfaction level according to the plurality of factors, wherein the plurality of factors include a plurality of eating preferences, nutritional constraints, one or more health constraints, one or more meal types, one or more available meals, cooking skills of each user, time constraints of each user, preparation time for the one or more meal types, or a combination thereof and each of the plurality of factors are weighted values. (0)

12. The system of claim 8, wherein the executable instructions collect feedback information from the group of users for determining the satisfaction level for each of the one or more previously requested meals or the one or more meals that are recommended. (1) (0)

14. The system of claim 8, wherein the executable instructions display in real time, via an interactive graphical user interface (GUI), the collaboration of data, the one or more meals recommended for the group of users, the satisfaction level, or a combination thereof. (0)

15. A computer program product for recommending meals by a processor, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising: (5) (2)

an executable portion that receives a collaboration of data capturing a plurality of factors of a group user profile for each user in a group of users for aiding in recommending one or more meals; and

an executable portion that recommends the one or more meals for the group of users according to the group user profile such that the recommending balances a satisfaction level for the one or more meals for the group of users.

16. The computer program product of claim 15, further including an executable portion that determines the satisfaction level for each of the one or more meals that are recommended according to each group user profile. (0)

17. The computer program product of claim 15, further including an executable portion that determines the satisfaction level for each of the one or more previously requested meals by comparing the group user profile for each user to each of the one or more previously requested meals. (0)

18. The computer program product of claim 15, further including an executable portion that defines the satisfaction level according to the plurality of factors, wherein the plurality of factors include a plurality of eating preferences, nutritional constraints, one or more health constraints, one or more meal types, one or more available meals, cooking skills of each user, time constraints of each user, preparation time for the one or more meal types, or a combination thereof and each of the plurality of factors are weighted values. (0)

19. The computer program product of claim 15, further including an executable portion that: (0) (2)

20. The computer program product of claim 15, further including an executable portion that displays in real time, via an interactive graphical user interface (GUI), the collaboration of data, the one or more meals recommended for the group of users, the satisfaction level, or a combination thereof. (0)

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Application US20190073601

RECOMMENDING MEALS FOR A SELECTED GROUP

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