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Enterprise-recommended method, apparatus, compute device and storage medium

A recommendation method and enterprise technology, applied in computing, business, instruments, etc., can solve the problems of low accuracy and reliability, difficult for buyers to recommend suppliers, and difficult for buyers to obtain accurate and reliable supplier information, etc. Effects of Accuracy, Guaranteed Accuracy, and Reliability

Active Publication Date: 2019-02-01
PING AN TECH (SHENZHEN) CO LTD
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  • Claims
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Problems solved by technology

[0002] Merchant recommendations on traditional e-commerce platforms are often based on the buyer’s historical purchase behavior data, that is, match the supplier’s sales products through the buyer’s historical purchase records, and recommend the matched supplier to the buyer; but when A buyer has a new product purchase demand, and traditional e-commerce platforms are difficult to accurately recommend suitable suppliers to the buyer based on historical purchase records; suppliers, but the accuracy and reliability of suppliers' business information, advertisements and other information are low, and it is often difficult for buyers to obtain accurate and reliable supplier information

Method used

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  • Enterprise-recommended method, apparatus, compute device and storage medium
  • Enterprise-recommended method, apparatus, compute device and storage medium
  • Enterprise-recommended method, apparatus, compute device and storage medium

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Embodiment Construction

[0058] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0059] The enterprise recommendation method provided in this application can be applied to such as figure 1 shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through the network. The server 104 obtains the invoice data in advance, and uses the invoice data to establish the enterprise label representing the enterprise and the corresponding enterprise commodity label. After the buyer sends the transaction demand to the server 104 through the terminal 102, the server 104 matches the enterprise commodity according to the commodity ...

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PUM

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Abstract

The present application relates to an enterprise recommended method, apparatus, computer device and storage medium. The method comprises the following steps: extracting seller information data and commodity information from invoice data; Generating an enterprise label according to the information data of the seller, and generating an enterprise commodity label corresponding to the enterprise labelaccording to the commodity information; Acquiring the transaction demand of the purchaser, and determining an associated commodity label matching the commodity information in the transaction demand from the enterprise commodity label; The enterprise label corresponding to the associated commodity label is recommended to the purchaser as an alternative enterprise label. The method can be used to recommend reliable and accurate seller enterprises to the buyer, wherein, the information of the seller enterprise and the commodity information of the seller enterprise are collected from the invoicedata, so as to ensure the accuracy and reliability of various data information of the seller enterprise and improve the accuracy of the enterprise recommendation.

Description

technical field [0001] The present application relates to the technical field of data mining, in particular to an enterprise recommendation method, device, computer equipment and storage medium. Background technique [0002] Merchant recommendations on traditional e-commerce platforms are often based on the buyer’s historical purchase behavior data, that is, match the supplier’s sales products through the buyer’s historical purchase records, and recommend the matched supplier to the buyer; but when A buyer has a new product purchase demand, and traditional e-commerce platforms are difficult to accurately recommend suitable suppliers to the buyer based on historical purchase records; Suppliers, but the accuracy and reliability of suppliers' business information, advertisements and other information are low, and it is often difficult for buyers to obtain accurate and reliable supplier information. Contents of the invention [0003] Based on this, it is necessary to provide ...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06F16/9535
CPCG06Q30/0631Y02P90/30
Inventor 夏良超
Owner PING AN TECH (SHENZHEN) CO LTD
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