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Order recommendation method and device

A recommendation method and order technology, applied in the computer field, can solve the problems of reducing the consumer user experience, not conducive to the improvement of consumer shopping efficiency, store sales efficiency, and inability to meet differentiated needs, so as to improve user experience and improve sales. Efficiency, the effect of improving efficiency

Active Publication Date: 2020-08-04
KOU KOU XIANG CHUAN BEIJING NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the same store, the product orders recommended by different consumers are the same, which cannot meet the differentiated needs of different consumers and reduce the consumption experience of consumers, which is not conducive to the improvement of consumer shopping efficiency and store sales efficiency. improvement

Method used

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  • Order recommendation method and device
  • Order recommendation method and device

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Embodiment Construction

[0053] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0054] figure 1 A schematic flowchart of an order recommendation method provided according to an embodiment of the present invention is shown. Such as figure 1 As shown, the method includes:

[0055] Step S110, receiving a shopping trigger operation for a store, and presenting a shopping interface corresponding to the store.

[0056] Wherein, this embodiment does not limit the specific form of the shopping trigger operation for ...

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Abstract

The invention discloses an order recommendation method and device. The method comprises the steps that shopping triggering operation on a shop is received, and a shopping interface corresponding to the shop is displayed; a one-key shopping request triggered by the shopping interface is received, a user shopping demand is acquired, and at least one commodity corresponding to the shop is acquired; according to the matching degree between each commodity and the user shopping demand, a first score of each commodity is obtained; user behavior data is acquired, and a second score of each commodity is obtained according to the matching degree between the commodity and the user behavior data; according to the first scores and the second scores, scores of the commodities are obtained; and accordingto the scores of the commodities, a commodity order is generated and recommended. By the adoption of the scheme, the commodities in high conformance to a user can be recommended to the user quickly and automatically according to the user behavior and demand, therefore, user-targeted commodity customization recommendation is realized, it is convenient to shorten decision time of the user in commodity purchase, the efficiency of commodity purchase by the user is improved, user experience is improved, and the sales efficiency of the shop can be further improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an order recommendation method and device. Background technique [0002] With the rapid development of science and technology and the improvement of people's living standards, consumers' spending power has also been greatly improved. In order to attract more consumers and increase product sales, various stores compete to launch corresponding product order recommendation programs for users. [0003] However, the commodity order recommendation scheme formulated by the current store is usually formulated according to commodity-related factors such as commodity profit, commodity raw materials, and commodity inventory. For the same store, the product orders recommended by different consumers are the same, which cannot meet the differentiated needs of different consumers and reduce the consumption experience of consumers, which is not conducive to the improvement of consumer...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/953
CPCG06Q30/0631G06Q30/0633G06Q50/12
Inventor 姚何飞郑震滨李得宝戴建平陈君
Owner KOU KOU XIANG CHUAN BEIJING NETWORK TECH CO LTD
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