Method for calculating preferential value based on user association behavior, server and client

A computing method and server-side technology, applied in the Internet field, can solve the problems of a single form, no user interaction, and no user rewards.

Inactive Publication Date: 2018-09-04
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

However, this form is relatively simple and cannot form a good interaction between users and merchants
The user sends the product they want to buy to the server through the client. After receiving the request, the server only records the corresponding product information, does not interact with the user, and does not give the user corresponding rewards.
[0004] In addition, merchants can set group buying prices on the platform server to attract users. Users access the platform through the client, and the platform server displays the group buying prices on the user's client. Although setting group buying prices can attract users, for all users , the amount paid for the purchase of goods is the same, and it is impossible to achieve thousands of people

Method used

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  • Method for calculating preferential value based on user association behavior, server and client
  • Method for calculating preferential value based on user association behavior, server and client
  • Method for calculating preferential value based on user association behavior, server and client

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Embodiment Construction

[0117] 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.

[0118] figure 1 A schematic flow chart showing a method for calculating a discount value based on user association behavior according to an embodiment of the present invention is shown. Such as figure 1 As shown, the method includes the following steps:

[0119] Step S100, record user association behaviors for merchants or commodities.

[0120] Among them, the user-associated behavior is the behavior of the user for the merchant...

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Abstract

The invention discloses a method and device for calculating a preferential value based on a user association behavior. The method comprises the steps of recording a user association behavior in allusion to a merchant or a commodity; obtaining related association behavior parameters of the user association behavior; and calculating a preferential value according to the association behavior parameters so as to be used by the user when having a consumption behavior for the merchant or commodity. Based on the technical scheme provided by the invention, a win-win situation can be achieved between the consumers and merchants, and users can be encouraged to consume in stores through granting the users with the preferential value, thereby retaining potential customers for the merchants, avoiding the loss of the potential customers, and improving the profits of the merchants. The method can also reduce the expenditure of the users, and realizes that different people pay different amounts for purchasing the commodity.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to a method for calculating discount values ​​based on user association behaviors, a server and a client. Background technique [0002] The current consumption forms mainly include online consumption and offline consumption. However, the difference between offline consumption and online consumption is that after the consumption desire is stimulated, due to the limitation of objective conditions, users often cannot go to the store to consume immediately. For merchants, potential customers who have not come to the store for consumption for a long time can easily cause the loss of potential customers. [0003] In order to overcome the above problems, Amazon launched the Amazon Wishlist. When users like a certain product but cannot purchase it temporarily, using the wishlist can help users quickly find the product to purchase when they have the ability to purchase, or ask f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
CPCG06Q30/0207G06Q30/0277
Inventor 金凯民
Owner KOU KOU XIANG CHUAN BEIJING NETWORK TECH CO LTD
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