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Coupon limit dynamic adjustment method based on user behavior characteristics

A dynamic adjustment and coupon technology, applied in marketing, data processing applications, instruments, etc., can solve problems such as unconsidered impact, and achieve the effects of improving universality, high real-time computing efficiency, and efficient use

Active Publication Date: 2021-09-28
四川特号商盟科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this method can dynamically update the discount type and / or discount amount of the electronic coupon, it does not consider the influence of user behavior characteristics on the coupon discount amount, so this scheme needs to be further improved

Method used

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  • Coupon limit dynamic adjustment method based on user behavior characteristics
  • Coupon limit dynamic adjustment method based on user behavior characteristics
  • Coupon limit dynamic adjustment method based on user behavior characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0073] In this example, if figure 1 As shown, a method for dynamically adjusting the amount of coupons based on user behavior characteristics includes the following steps:

[0074] Step 1: Obtain the user behavior weight, collect and record the user's operation variables on the product in the t time period, and combine them to form the user behavior weight in the t time period;

[0075] Step 2: Calculate the user's adjustment weight, and calculate the user's adjustment weight according to the user's coupon shopping information;

[0076] Step 3: User feature weight analysis, cluster analysis is performed on the personal information of each user, and the feature weight of each user is obtained;

[0077] Step 4: Calculation of the incentive score. According to the calculation formula of the incentive score and combined with the user behavior weight, the user adjustment weight and the user's characteristic weight, the incentive score of each user is calculated;

[0078] Step 5: ...

Embodiment 2

[0086] In this embodiment, the specific process of the method is as follows:

[0087] 1. Calculate the user behavior weight within t time:

[0088] Step 1: In this embodiment, the operation variable is used to represent the user's operation behavior. There may be n users accessing the system within a period of time t, and each user has m operation behaviors. We define i as the user index, and j as the user's operation variable index of. Definition Indicates the jth operation variable of a certain user. All action variables x for user i j Constitute the behavior vector of user i, use means, therefore Denotes the jth action variable for the ith user. operand variable x j Specifically including product clicks , product details page dwell time , shopping cart product value , Purchased item price , shares and coupon usage times Wait. At the same time, the behavior vector X of all m users in the t time period is composed of the user behavior matrix U; ...

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Abstract

The invention discloses a coupon limit dynamic adjustment method based on user behavior characteristics, and the method comprises the following steps: 1, collecting and recording operation variables of a user for a commodity in a time period t, and carrying out the combination of the operation variables to form a user behavior weight in the time period t; 2, calculating a user adjustment weight according to the coupon shopping information of the user; 3, performing clustering analysis on the personal information of each user to obtain a feature weight of each user; 4, calculating an incentive score of each user according to a formula in combination with the behavior weight, the adjustment weight and the feature weight; and 5, dividing the incentive scores and the preferential quotas of the users into M grades, enabling the divided incentive scores and preferential quotas to be in one-to-one correspondence, and finally obtaining preferential quota grades of the users. According to the invention, the incentive level of the user is calculated according to the behavior characteristics of the user, and different preferential quotas are obtained according to the level, so that different users can obtain different preferential quotas of the same kind of coupons, and personalized user incentive is formed.

Description

technical field [0001] The invention relates to the field of electronic commerce, in particular to a method for dynamically adjusting the amount of coupons based on user behavior characteristics. Background technique [0002] Coupons are a promotion method commonly used by major e-commerce companies. Users can use coupons to deduct part of the cash to encourage users to place orders and promote product sales. Coupons used by e-commerce companies are electronic coupons and do not have physical form. After the customer receives the coupon, it will be bound to the customer in digital form, which is convenient for the customer to use in the future. [0003] At present, the discount amount of e-commerce coupons is manually set by the background operation personnel. The discount amount of the same coupon received by each customer is fixed, and the operator sets it in the system in advance. The amount of coupons is within the acceptable range of the company's cost. It is set arti...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q30/02
CPCG06Q30/0239G06F18/23
Inventor 曾胜曹权
Owner 四川特号商盟科技有限公司
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