Commodity sorting method for discount when spending enough
A sorting method and commodity technology, applied in the field of big data analysis, can solve the problem of not being able to provide user recommendation sorting, and achieve the effect of reducing rummaging and search time
Inactive Publication Date: 2020-03-27
LIXIN COUNTY FENGYASONG ELECTROMECHANICAL TECH CO LTD
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Benefits of technology
This patented technology helps users choose what products they want based upon their preferences or how well these items fit into them. Users will receive an overall list of recommended prices along with preferred options within those specifications. They then use this data to make informed recommendings about purchasing new ones instead of searching through irrelevant alternatives until final sale. Overall, this innovation improves efficiency and convenience for consumers while making better choices themselves.
Problems solved by technology
This patented technical solution described by this patents allows people who want to shop on their own website can easily find out what items they like at home but still get enough money from doing it themselves without paying too much attention during peak times.
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[0057] As an implementation, the method further includes:
[0058] The threshold is adjusted according to the user's input instruction.
[0059] Users can freely adjust the threshold according to their shopping habits.
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Abstract
The invention discloses a commodity sorting method for discount when spending enough. The method comprises the following steps: marking a plurality of keywords on commodities, and calculating the preference value of each commodity according to the historical operation of a user, so that the preference degree of the user to each commodity can be reflected; calculating the total price of commoditieshaving the discount when spending enough in a shopping cart and the difference between the total price and discount quota; calculating the residual price value for reaching the discount quota of theuser; according to the ratio of the price of each commodity having the discount when spending enough to the difference value, obtaining a price related value of each commodity having the discount whenspending enough; integrating the price related value and the preference value, and calculating the comprehensive recommendation value. The preference of the user to the commodity can be reflected, the fitness of the commodity to the full reduction of the order can also be reflected, the user can conveniently find out add-on items which are more suitable and required during the discount when spending enough, and meaningless searching time of the user during searching of the add-on items is reduced.
Description
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Owner LIXIN COUNTY FENGYASONG ELECTROMECHANICAL TECH CO LTD
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