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
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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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