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One-object-one-code-based user consumption behavior automatic clustering method and application system

An automatic clustering and user technology, applied in marketing, equipment, character and pattern recognition, etc., can solve the problems of user label extraction, user portrait construction, imprecise marketing plan, and poor effect, so as to improve the effect of activities , Reduce manual intervention and low maintenance cost

Pending Publication Date: 2021-07-27
微积分创新科技(北京)股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In view of this, the present invention provides an automatic clustering method for user consumption behavior based on one item, one code, and an application system and system to solve the problems of the above-mentioned traditional one-item, one-code technical solution for the extraction of user tags and the identification of user portraits. The construction and implementation of the marketing plan is not accurate and the effect is not good

Method used

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  • One-object-one-code-based user consumption behavior automatic clustering method and application system
  • One-object-one-code-based user consumption behavior automatic clustering method and application system
  • One-object-one-code-based user consumption behavior automatic clustering method and application system

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Embodiment 1

[0038] The embodiment of the present invention discloses a method for automatic clustering and precise marketing of user consumption behavior based on one item, one code, and provides detailed explanations and illustrations. like figure 1 As shown, the method includes the following steps:

[0039] Step 1: Obtain the behavior of the user after scanning the code of the one-thing-one-code product. The user's behavior on the product in the present invention may include code scanning behavior, online behavior, and consumption behavior. In the present invention, the user can perform the above-mentioned behaviors on the product on the mobile device, for example, the user uses the mobile phone to scan the code to assign the code to the product; the user scans the code to enter the online behavior of the marketing activity; and geographic location and time.

[0040] Step 2: According to the user's consumption behavior, obtain the user's consumption product information, time, and geog...

Embodiment 2

[0047] The embodiment of the present invention discloses an automatic clustering and precise marketing system based on one item, one code for user consumption behavior, and provides detailed explanations and descriptions, such as Figure 1-5 Shown:

[0048] S1. The data acquisition module acquires the data source of scanning codes consumed by participating users based on the one-item-one-code marketing activity.

[0049] Utilizing the one-thing-one-code technology and big data technology that assigns two-dimensional codes to commodities, after commodities are put on the market and scanned by consumers, a large amount of user data, behavior data, and consumption data can be comprehensively obtained to form a data source. Among them, The collected user data mainly includes the user's static information data and dynamic information data. The user's static information data at least includes the user's demographic attributes, business attributes and other relatively stable informat...

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Abstract

The invention discloses a one-object-one-code-based user consumption behavior automatic clustering method and an application system, and relates to the field of data mining, and the method comprises the following steps: obtaining user code scanning data, and carrying out the preprocessing of the data, and generating first data; labeling the first data by using a labeling algorithm, performing automatic group division by using a clustering algorithm in combination with consumer historical data, and summarizing other behavior records of the user to generate second data; storing the second data, and portraying the user according to the second data; and according to the user portrait, actively touching the user and / or passively touching the user, and determining a marketing scheme when the user scans the code next time. The system further comprises a data acquisition module, a data processing module, a label and clustering module, a data storage module, a user portrait display module and a precision marketing module. The method has the advantages of being high in matching degree with user hobbies, good in recommendation effect, high in recommendation accuracy, good in user experience and the like.

Description

technical field [0001] The present invention relates to the field of data mining, and more specifically relates to an automatic clustering method and an application system for user consumption behavior based on one item, one code. Background technique [0002] In the existing technology, in order to solve the problem of consumer labeling and clustering, the following solutions are implemented: on websites, mobile H5 pages, and mobile apps, collecting registered / authorized user information, and labeling and clustering is a feature of the PC Internet era. The label and group clustering method of the traditional PC Internet is based on the online purchase behavior of consumers after registration and browsing behavior after login, and obtains a lot of data, all of which are online consumption data of users. [0003] With the development of mobile Internet technology, people's lives are gradually shifting to the mobile Internet in an all-round way. In the marketing of commodities...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06K17/00G06K9/62
CPCG06Q30/0201G06K17/0025G06F18/23213
Inventor 任威伦金燕苏婕赵辰赵辉孙顺博兰秀平吕明
Owner 微积分创新科技(北京)股份有限公司
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