Abstract
People have an increasingly strong demand for the refinement of their diet, but the
quality of the ingredients on the market is uneven, and the geographical location of the sales
points is scattered. Therefore, this system will become a tool that can regulate various data to
accurately select the most suitable merchants, providing users with precise control and
adjustment of various indicators of ingredients, and filtering out the most suitable merchants.
This system will first calculate the corresponding data according to the data entered by the
merchants, and achieve the purpose of popularizing professional data, and present it to users
in a form that is more in line with the understanding ability of the general public (such as
calculating “freshness” based on K value, pH value, TBA value), and then calculate the
weighted discreteness according to the most expected values of various indicators entered by
users and the corresponding merchant values, and realize the function of personalized
screening. The significance of this system lies in saving users from unnecessary costs caused
by screening offline markets one by one, and helping users get rid of non-professional
constraints and choose cooking ingredients in a personalized way.
Key words: Food Materials; Precise Recommendation; Data Popularization Degree of
Dispersion; Javascript
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