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AI Biotech/Diagnostics: General Diagnostics

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Application US20190073601


Published 2019-03-07

Recommending Meals For A Selected Group

Embodiments for recommending meals by a processor. A collaboration of data capturing a plurality of factors of a group user profile for each user in a group of users may be received for aiding in recommending one or more meals. The one or more meals may be recommended 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.



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3 Independent Claims

  • 1. A method, by a processor, for recommending meals in a computing environment, comprising: 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.

  • 8. A system for recommending meals, comprising: 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.

  • 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: 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.