Product similarity quantification method based on Amazon keywords

A keyword and similarity technology, applied in the field of data processing, can solve problems such as high labor costs and difficulty in ensuring accuracy

Pending Publication Date: 2021-09-07
汇智数字科技控股(深圳)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, in the field of cross-border e-commerce, Amazon sellers usually use the Best Seller Ranking, which is updated daily on the Amazon platform, to find similar products, which not only requires a lot of labor costs, but also the accuracy is difficult to guarantee

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  • Product similarity quantification method based on Amazon keywords
  • Product similarity quantification method based on Amazon keywords
  • Product similarity quantification method based on Amazon keywords

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Embodiment Construction

[0032] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0033] For the problems mentioned in the background technology, the present invention proposes a product similarity quantitative method based on Amazon keywords, through keywords and ASIN (Amazon automatically generates a unique number for the listing of each product, Amazon Standard Identification Number) to establish a similarity matrix between ASINs, so as to effectively help sellers accurately find similar products, so a...

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Abstract

The invention provides a product similarity quantification method based on Amazon keywords, and belongs to the technical field of data processing. Each ASIN is converted into different vectors in a multi-dimensional vector space, and all keywords associated with the ASIN are different components of the vectors, therefore, the problem of calculating the similarity between the ASINs is converted into the problem of solving the distance of vectors in a multi-dimensional space. In this way, parallel computing is carried out through the off-line high-performance numerical computing server in practice, daily updating of results is achieved, and great convenience is brought to use of users.

Description

technical field [0001] The invention belongs to the technical field of data processing, in particular to a method for quantifying product similarity based on Amazon keywords. Background technique [0002] The stable growth of cross-border e-commerce companies on the Amazon platform depends on two important factors. One is to continuously launch new products, which is called product selection, and the other is to improve existing products, which is called operation, so that your product line Keep evolving. [0003] The product selection strategy of Amazon sellers is usually to find products with relatively high demand and relatively low competition on the Amazon platform in a logical and systematic way, so as to obtain the highest profit. This product is usually not very long on the surface and is in the early stages of the product life cycle. In the process of product selection, the first thing to bear the brunt is the in-depth analysis of different markets, and the number...

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Application Information

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IPC IPC(8): G06K9/62G06F40/194G06F16/951G06F16/9535G06F40/205
CPCG06F16/951G06F16/9535G06F40/205G06F40/194G06F18/22
Inventor 姚磊王旭张猛王敏
Owner 汇智数字科技控股(深圳)有限公司
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