Method and device for constructing market portraits

Abstract

The invention discloses a method and device for constructing a market portrait, and relates to the technical field of computers. One specific embodiment of the method comprises the steps of splittingan article attribute according to an attribute value corresponding to the article attribute to obtain a market attribute; establishing a market stock index set and a market variable index set for eachmarket attribute, wherein the market stock index set is an index set reflecting the current market situation of the market attributes, and the market variable index set is an index set reflecting themarket change situation of the market attributes; and constructing a market portrait according to the market stock index set and the market variable index set. According to the embodiment, the article attribute characteristics can be fully described by combining the current market situation and the market change situation; and a unique 'market portrait ' is established for the attributes of the articles, so that brand businessmen can comprehensively see through the attributes of one article and the market characteristics of the market attributes according to the market portrait, and understand the prospect and opportunity of entering a subdivided market from multiple aspects.

Description

Technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device for constructing a market portrait. Background technique [0002] Before traditional brands want to enter their products into an emerging market, they often have to spend more time and energy investigating what types of products are most popular with consumers on the market, and then construct a market profile based on the research results. The market profile formulates different product strategies to better meet the needs of different consumers. In this process, the most important link is to carry out category management, that is, to classify and classify items, and to conduct targeted management based on the different characteristics of consumers and items. [0003] With the continuous development of big data and machine learning technology, and the continuous improvement of the maturity of category management on large e-commerce platforms, the understan...

AI Technical Summary

Problems solved by technology

[0006] First, when constructing a market portrait, the analysis of the above-mentioned category management scheme is mostly based on the characteristics of the item, but the characteristics of the item are composed of different attributes. Only based on the analysis at the item level, you can understand the characteristics of the item itself , and the characteristics of other items, but sometimes it is impossible to explain what is the real factor driving the growth of the item. Without understanding the "underlying gene" of the item, it is impossible to truly see the trend performance of a market segment;

[0007] Second, even if you can drill down to the level of item attributes for analysis to construct a market portrait, you can only understand the current characteristics of this attribute, and cannot understand how this attribute will change, and what relationship it has with other attributes , for example: whether it is complementary or mutually exclusive, whether it is getting better or worse, etc. These are the missing links in the current category management plan

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