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Article recommendation method and device based on big data statistical analysis

A technology of statistical analysis and recommendation method, applied in the computer field, it can solve the problems of inability to analyze a large amount of order data, inability to mine, etc., and achieve the effect of increasing product sales, high order volume, and high viscosity

Pending Publication Date: 2021-08-10
广州卓铸网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing technology cannot mine deeper and more valuable information in the current data, and cannot accurately analyze a large amount of order data to recommend related items to users more accurately

Method used

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  • Article recommendation method and device based on big data statistical analysis
  • Article recommendation method and device based on big data statistical analysis
  • Article recommendation method and device based on big data statistical analysis

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Embodiment Construction

[0031] The specific implementation manners of the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation manners described here are only used to illustrate and explain the embodiments of the present invention, and are not intended to limit the embodiments of the present invention.

[0032] figure 1 A schematic flowchart of an item recommendation method based on big data statistical analysis according to an embodiment of the present invention is schematically shown. Such as figure 1 As shown, in one embodiment of the present invention, a method for recommending items based on statistical analysis of big data is provided, including the following steps:

[0033] In step 101, a plurality of order data is obtained, and the order data includes historical order data and order data to be recommended.

[0034] Step 102, analyzing the order data to determine the fir...

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Abstract

The embodiment of the invention provides an article recommendation method and device based on big data statistical analysis. The method comprises the steps of obtaining multiple pieces of order data; analyzing the order data, and determining a first occurrence frequency of each article in the order data; removing the articles with the first occurrence frequency lower than a first preset threshold value; sorting and combining the remaining articles again, and obtaining a plurality of article sets; determining a second occurrence frequency of each article set in the historical order data; rejecting the article set of which the second occurrence frequency is lower than a second preset threshold value; and determining articles for the to-be-recommended order according to the remaining article set. According to the invention, order data are analyzed, article recommendation is carried out on orders needing to be recommended according to the number of articles purchased by a user in historical orders, and marketing activities can be carried out on commodities in a targeted manner, so that precise marketing is realized, dealers can generate good experience, higher viscosity and higher order placing quantity on the platform, and the product sales volume of enterprises is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an item recommendation method, device, storage medium and processor based on statistical analysis of big data. Background technique [0002] In the fast-moving consumer goods industry, dealers or merchants in the FMCG enterprise channel will have order data precipitation when they purchase goods. How to conduct classified statistical analysis through order data, and recommend to dealers or merchants the commodities that need to be purchased and the corresponding orders. Preferential information, for example, we need to know the order information of dealers or merchants in the channel, estimate which products are more likely to be ordered at the same time, and then carry out targeted marketing activities, the purpose is to let dealers have a good experience on the platform , Higher viscosity, higher order volume. [0003] However, the existing technology cannot mine dee...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0631G06Q30/0635G06Q30/0623Y02D10/00
Inventor 万人俊
Owner 广州卓铸网络科技有限公司
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