Method and device for intelligently determining consumption level of user

A technology of consumption level and users, applied in the Internet field, can solve problems such as poor delivery effect

Pending Publication Date: 2021-11-09
BEIJING DEEPZERO TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The main purpose of the present application is to provide a method, device, computer-readable storage medium and processor for intelligently determining the consumption level of users, so as to solve the problem of poor product advertising promotion in the prior art

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  • Method and device for intelligently determining consumption level of user
  • Method and device for intelligently determining consumption level of user

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Embodiment Construction

[0021] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0023] It should be noted that the terms "first" and "second...

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Abstract

The invention provides a method and device for intelligently determining the consumption level of a user, and the method comprises the steps: obtaining label data of a target user, wherein the label data comprises stable data and fluctuation data, the stable data comprises gender data and age data, the fluctuation data comprises customer unit price and purchase frequency, the customer unit price is the average price of commodities purchased by the target user within the preset time, and the purchase frequency is the frequency of purchasing the commodities by the target user within the preset time; adopting a consumption level judgment model to analyze the label data to obtain the consumption level of the target user, wherein the consumption level judgment model is trained through machine learning by using multiple sets of data, and each set of data in the multiple sets of data comprises the label data of the user and the consumption level of the user. According to the determination method, the problem of poor putting effect of product advertisement promotion in the prior art is solved.

Description

technical field [0001] The present application relates to the technical field of the Internet, in particular, to a method, device, computer-readable storage medium and processor for intelligently determining user consumption levels. Background technique [0002] At present, there are relatively few or single data sources for constructing consumption level labels, and they will only be constructed or trained based on the previous behavior of the target user as a feature. [0003] Behavior data is a short-term action and behavior, which may be affected by the target user's recent income, environment, and life factors. For example, the target user is moving to a new house recently and needs to purchase large furniture and household items. Divide this target user into a high-consumption group, but this is not a commodity that is generally consumed in daily life; the issuance of year-end bonuses and large-scale consumption during the Spring Festival will affect the division of a ...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0204G06Q30/0255
Inventor 朱露沙张云青
Owner BEIJING DEEPZERO TECH CO LTD
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