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Matrix adaption method for large-scale shop optimization in community business cloud environment

A cloud environment and large-scale technology, applied in the field of matrix adaptation, can solve problems such as long feedback time from buyers and complex operations

Inactive Publication Date: 2013-12-18
ZHEJIANG GONGSHANG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is feasible in supplier selection, and the effect is not bad, but its operation is complicated. If it is applied to the social business cloud, it needs to perform a calculation for each transaction, which is an unbearable amount of calculation. Can lead to long feedback times for buyers

Method used

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  • Matrix adaption method for large-scale shop optimization in community business cloud environment
  • Matrix adaption method for large-scale shop optimization in community business cloud environment
  • Matrix adaption method for large-scale shop optimization in community business cloud environment

Examples

Experimental program
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Effect test

Embodiment

[0037] Suppose a buyer is currently shopping for shoes. The buyer attaches great importance to the quality and price of shoes, that is, he wants high-quality and cheap shoes, so the buyer gave five stars to the quality and price when rating the product preference, while the other three indicators did not give stars . After the buyer submits the order, the system automatically generates the buyer preference matrix as follows:

[0038]

[0039] The system then queries the product information matrix and extracts the row that belongs to shoes, as follows:

[0040]

[0041] It can be seen from the above table that 4 merchants including Yihaodian do not provide shoes, so they will be automatically filtered out in the following merchant selection link.

[0042] After obtaining the buyer preference matrix and product information matrix, next, the system automatically extracts the product evaluation sub-matrix of merchants (such as Amazon) shoes, and performs dot multiplication...

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PUM

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Abstract

The invention discloses a matrix adaption method for large-scale shop optimization in a community business cloud environment. The matrix adaption method for large-scale shop optimization in the community business cloud environment is based on a community business cloud, namely 'buyer agency platform', wherein an order is a large order formed by integrating small orders of a plurality of users, therefore, integrated optimization of shops and commodities is conducted by taking into account individual requirements of the multiple users at each time of shop optimization, and the whole shop optimization process is conducted automatically.

Description

technical field [0001] The invention relates to a merchant optimization method, in particular to a matrix adaptation method for large-scale merchant optimization under a community business cloud environment. Background technique [0002] Community Business Cloud is a buyer's agent platform. It receives a large number of buyers' shopping information, and then negotiates with sellers in the image of a "big customer", so as to purchase cost-effective commodities for buyers. For "big customers" like Community Business Cloud, merchant optimization technology is essential. Merchants' Choice will strive for cheap and high-quality products for buyers based on factors such as product quality and merchant reputation. Of course, the business optimization technology is not limited to the community business cloud, and it can also play a good role in the existing bulk purchases. [0003] Merchant optimization is necessary for all kinds of business activities. However, at present, major...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
Inventor 徐斌
Owner ZHEJIANG GONGSHANG UNIVERSITY