Cosmetic personalized product matching method and device and computer

A technology for cosmetics and products, applied in computing, data processing applications, instruments, etc., can solve problems such as cost loss, low accuracy of sample distribution, limited sample types and quantities, etc.

Pending Publication Date: 2022-04-15
北京小样科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in actual operation, the types and quantities of samples that the platform can provide are often limited, and the accuracy and efficiency of sample distribution are low. For brands that need to use samples to promote, it has caused cost losses.

Method used

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  • Cosmetic personalized product matching method and device and computer
  • Cosmetic personalized product matching method and device and computer
  • Cosmetic personalized product matching method and device and computer

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Embodiment Construction

[0041] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other implementations obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0042] In the existing technology, usually due to the actual situation of the product supplier, the attributes of the product itself, and the actual operating cost, the types and quantities of products that can be allocated by the platform in each period are limited, and when the user base is also very large at the same time , the use of conventional recommendation algorithms cannot meet the actual constraints. Another conventional method is to directly distrib...

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Abstract

The invention belongs to the technical field of personalized service algorithms, and particularly relates to a cosmetic personalized product matching method and device and a computer, and the method comprises the steps: obtaining the skin basic feature information data of a user; inputting the user skin basic feature information data into a preset skin score table to obtain a user skin basic score, and storing the user skin basic score into a user skin archive score table; inputting the specified product attribute parameters into the user skin archive scoring table to obtain weight scoring results corresponding to the product attribute parameters; clustering the user data by using a clustering algorithm in data mining according to a weight scoring result corresponding to the product attribute parameter to obtain a clustered data result; and according to a clustering data result, a cosmetic product classification target is obtained by using a mixed integer programming class algorithm, and cosmetic samples are distributed according to the classification target. Products and services are individually matched for each user, so that the product satisfaction of the user is met to the greatest extent.

Description

technical field [0001] The invention belongs to the field of personalized service algorithms, and in particular relates to a cosmetic personalized product matching method, device and computer. Background technique [0002] Against the background of the vigorous development of the beauty industry, a large number of new cosmetic products are constantly pouring into the market, regardless of product form, design, and color are constantly updated. At present, cosmetics consumption mainly comes from online. Therefore, in the face of a huge cosmetics product library, users need to identify, filter, and select the products they are interested in, and this process is time-consuming and labor-intensive. At present, e-commerce platforms mostly use recommendation algorithms to recommend products for users. Common algorithms include collaborative filtering and content-based recommendation. Collaborative filtering is to predict preferences based on user behavior, which can be user-based ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q30/00
Inventor 李文奇刘峰
Owner 北京小样科技有限公司
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