E-commerce commodity information pushing optimization method

An optimization method and message push technology, applied in the fields of e-commerce applications, Internet, operations research, big data processing, and computer applications, can solve the problem of single push messages, inability to achieve push effects, and inability to comprehensively consider various user information push. Good product news and other issues to achieve the effect of improving the grasp of purchase intention and improving core competitiveness

Inactive Publication Date: 2017-04-26
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0006] Providing consumers with product news push is one of the ways that most e-commerce companies use to increase consumers' desire to buy. User push information, this method has resulted in the simplification of push messages, and it is impossible to comprehensively consi

Method used

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  • E-commerce commodity information pushing optimization method
  • E-commerce commodity information pushing optimization method
  • E-commerce commodity information pushing optimization method

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] refer to Figure 1 ~ Figure 4 , an e-commerce product message push optimization method, the method includes the following steps:

[0041] A1. Classify the target users through the K-nearest neighbor algorithm, so as to determine which consumer group their consumption habits belong to; through big data processing, initially obtain the types of commodities that meet the user's needs, and factors that may affect the user's purchase behavior, such as age , gender, purchasing ability, commodity browsing history and purchasing habits, etc., according to the consumer group to which the above factors affect the weight of the user when purchasing commodities;

[0042] A2. Establish hierarchical analysis structure model

[0043] The data obtained through A1 step is in accordance with figure 2 Establish a hierarchical analysis model, starting from the criterion layer of ...

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Abstract

An e-commerce commodity information pushing optimization method is disclosed. The method is characterized by firstly, according to a consumption habit, classifying a user to a corresponding consumer group, and through a large data technology, acquiring a plurality of commodities which basically satisfy a consumer demand and factors which influence a consumer purchase behavior in the consumer group; then analyzing the factors which influence the consumer purchase behavior in the consumer group, determining an influence degree of each factor and then constructing an analysis model; and then calculating an influence weight size of each factor to each commodity and calculating a weight size of each commodity which satisfies the consumer demand; and finally, according to an influence weight, selecting the commodity with the highest influence weight to push. In the invention, different consumer demands can be satisfied.

Description

technical field [0001] The present invention relates to the fields of the Internet, e-commerce applications, big data processing, operations research, and computer applications, and in particular to an optimization method based on e-commerce commodity message push. Background technique [0002] With the rapid evolution of computer information technology and the continuous deepening of Internet 1.0 to 2.0, e-commerce based on virtual economy is gradually stepping onto the stage of history and developing into the middle force of my country's emerging industries. In the era of information economy, the impact of e-commerce on economic development presents an obvious "multiplier effect", driving the second take-off of my country's traditional economic fields, creating a large number of employment opportunities for the majority of graduates and young people, and contributing to the rapid and stable growth of my country's GDP. to a considerable impetus. It can be said that e-commer...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q30/06
CPCG06Q10/04G06Q30/0631
Inventor 张贵军王文周晓根郝小虎姚俊王柳静
Owner ZHEJIANG UNIV OF TECH
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