| CPC G16C 20/70 (2019.02) [G16C 20/30 (2019.02)] | 11 Claims |
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1. A skin care product formulation development method, comprising:
acquiring names and weights of new ingredients, searching formulations containing at least one of the new ingredients in a skin care product formulation database, and obtaining a plurality of candidate formulations;
deleting the new ingredients contained in each of the candidate formulations to obtain a plurality of supplement formulations;
clustering the plurality of supplement formulations based on ingredient correlations to obtain a plurality of cluster groups;
calculating a correlation score of each cluster group to the new ingredients that need to be added respectively;
determining a cluster group with a highest correlation score,
generating a new skin care product formulation based on the cluster group with the highest correlation score, and
producing a skin care product based on the new skin care product formulation;
wherein clustering the plurality of supplement formulations based on the ingredient correlations comprises:
clustering the plurality of supplement formulations using a cluster algorithm based on a machine learning algorithm such that at least two supplement formulations containing same ingredients form one cluster group;
calculating cluster degrees of each cluster group based on the proportion of the same ingredients in respective formulations; and
screening out a cluster group with cluster degrees meeting a threshold value.
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