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Intelligent promotion scheme modeling method applied to Taobao

A modeling method and scheme technology, applied in data processing applications, special data processing applications, marketing, etc., can solve problems such as unsatisfactory results, promotion duration, effective evaluation of promotion results and promotion value, cost of financial resources and manpower, etc.

Inactive Publication Date: 2017-08-11
XIAMEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to improve the competitiveness of products, enhance the popularity of stores and online rankings, online sellers often carry out promotional activities, but currently there is no system and algorithm that can automatically provide sellers with promotional suggestions. Effective evaluation of promotion value and promotion value often leads to spending a lot of money and manpower, but the result is not satisfactory

Method used

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  • Intelligent promotion scheme modeling method applied to Taobao
  • Intelligent promotion scheme modeling method applied to Taobao
  • Intelligent promotion scheme modeling method applied to Taobao

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Embodiment

[0036] Such as figure 1 , figure 2 and image 3 As shown, the application discloses a modeling method for intelligent promotion schemes applied to Taobao, including the following steps:

[0037] S1. Use the crawler program to crawl various relevant product promotion information from the historical data of Taobao, Juhuasuan, and Taobao group buying, and crawl the product itself information (such as the industry to which the product belongs, product specification, type, model) from the storefront of the merchant where the promotional product is located. Quantity, consumer groups, grades in the product category, etc.), tracking and crawling sales data, including sales before the promotion, sales of the product within a period of time after the promotion, in this embodiment, within one month and two months after the promotion sales within a month.

[0038] S2. Perform data cleaning and standardization on the crawled data, and save it in the Hbase of the Hadoop architecture to ...

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Abstract

The invention discloses an intelligent promotion scheme modeling method applied to Taobao. The method comprises the steps of crawling various related commodity promotion information and commodity information by utilizing a crawler program to form a commodity promotion historical database; subdividing commodities in the commodity promotion database according to industry categories by using a k-means algorithm to form an industry promotion historical database; in combination with a neural network, logic regression and a support vector machine model, building a commodity promotion prediction model; correcting the prediction model in combination with collaborative filtering and a time series-based promotion scheme; and scoring promotion schemes given by the prediction model through using an industry expert database, so that a user can select corresponding promotion schemes according to own demands.

Description

technical field [0001] The invention relates to an intelligent sales promotion scheme modeling method applied to Taobao.com. Background technique [0002] With the popularization of the Internet, the advantages of online shopping have become more prominent, and it has become an important form of shopping. In online shopping, the prices and information of commodities are more transparent than those in physical stores, which makes it easier for consumers to compare and choose. Therefore, the competition among online sellers is more intense and cruel than in physical stores, and often a small number of sellers occupy an absolute majority. A large number of markets. In order to improve the competitiveness of products, enhance the popularity of stores and online rankings, online sellers often carry out promotional activities, but currently there is no system and algorithm that can automatically provide sellers with promotional suggestions. Effective evaluation of sales promotio...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/215G06F16/2465G06F16/27G06F2216/03G06Q30/0201G06Q30/0202G06Q30/0207
Inventor 刘昆宏洪清启吴清强
Owner XIAMEN UNIV