Product correlation quantitative analysis method based on Amazon platform
A quantitative analysis and correlation technology, applied in the field of cross-border e-commerce related product analysis, can solve problems such as no complementary and similar distinction of related products, and no quantitative analysis of related products, so as to optimize operation strategies and increase product flow. Effect
Active Publication Date: 2020-09-08
汇智数字科技控股(深圳)有限公司
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Problems solved by technology
Although this function can query related products of a certain product, it does not carry out quantitative analysis of the degree of relevance of each related product, nor does it distinguish complementary and similar related products, that is to say, sellers can only get related products through this function. , but will not know which products are complementary to your own and which are similar
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[0049]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.
[0050] The embodiment of the present invention provides a method for quantitative analysis of product association degree based on the Amazon platform. First, multiple reverse association data links between a source ASIN and other associated ASINs are obtained through crawler technology; and then by establishing an association degree Quantitative model, which quantitatively analyzes the degree of association between the source...
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The invention discloses a product correlation degree quantitative analysis method based on an Amazon platform. The method comprises the steps of obtaining a reverse data link between a source ASIN anda plurality of associated ASINs through a crawler technology, calculating the proximity of the reverse data link corresponding to the associated ASINs under a single dimension, calculating the proximity of the associated ASINs under a plurality of dimensions, and calculating the similarity and relevancy between the source ASIN and the associated ASINs. The method comprises the steps of obtaininga plurality of reverse associated data chains between a source ASIN and a plurality of other associated ASINs through a crawler technology; according to the method, the association degree between thesource ASIN and the plurality of associated ASINs is quantitatively analyzed by establishing the association degree quantitative model, so that a seller can be effectively helped to accurately find the associated products, the operation strategy is optimized, and the product flow is improved.
Description
technical field [0001] The invention belongs to the technical field of cross-border e-commerce related product analysis, and specifically relates to a quantitative analysis method for product relatedness based on the Amazon platform. Background technique [0002] With the globalization of trade and the gradual rise of Chinese manufacturing in the world, more and more Chinese sellers have begun to enter foreign markets. As the world's largest cross-border e-commerce platform, the Amazon platform has a large amount of traffic. The market is spread all over Europe, the United States and other developed countries. There are few sellers on the platform, many buyers, and little competition. There is a huge profit margin. Therefore, more and more Chinese sellers are attracted to the platform. [0003] On the Amazon platform, if you want to operate a product well, you must understand the industry in which the product is located. Therefore, it is very necessary to find out all the p...
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IPC IPC(8): G06Q30/02
CPCG06Q30/0201
Inventor姚磊王旭张猛王敏
Owner汇智数字科技控股(深圳)有限公司