Method for generating user portrait based on configuration

Abstract

The invention discloses a user portrait generation method based on configuration. The method comprises the following steps: S1, configuring a user data burying point scheme, and setting data acquisition and uploading parameters; and S2, collecting and storing user data burying points. And S3, user portrait feature scheme configuration: obtaining the analysis parameters determined in the step S1, and setting the feature configuration, update mechanism and alarm strategy of the user portrait. And S4, user portrait analysis and visualization: the system obtains the feature configuration in the step S3, operates a model algorithm to deeply analyze the user data collected in the step S2, extracts key information, and generates a user portrait report conforming to the feature scheme. And S5, updating the user portrait and giving an alarm. Collection, analysis and report generation of user data can be automatically completed, efficiency is improved, and objectivity and consistency of results are ensured. The method is of great significance in improving user experience, optimizing marketing strategies and enhancing the accuracy of business decisions.

Description

Technical Field

[0001] The present invention relates to the technical field of software information data processing, and particularly relates to a method for generating user portraits based on configuration. Background Art

[0002] In the context of the rapid development of today's software and big data technologies, the collection and analysis of user portraits play a crucial role in fields such as personalized recommendation and precision marketing. A user portrait is a mathematical model that deeply understands, mines, and locates users based on their attribute and behavior data, thereby depicting users' interests, hobbies, and characteristics. However, traditional methods for generating user portrait reports mainly rely on manual analysis and processing, which are inefficient, lack standardized processes, and are easily interfered by subjective factors. Summary of the Invention

[0003] Aiming at the problems existing in the prior art, the present invention develops a method for generating user portrait reports based on intelligent algorithms and configurability, which can automatically complete the collection, analysis, and report generation of user data, not only improving efficiency but also ensuring the objectivity and consistency of the results. This is of great significance for enhancing the user experience, optimizing marketing strategies, and improving the accuracy of business decisions.

[0004] The present invention proposes a method for generating user portraits based on configuration, aiming to solve the limitations in the design and generation of user portraits in the prior art. The system is implemented through the following specific steps:

[0005] S1. Configuration of user data instrumentation plan: Define the scope of user data collection, including key analysis parameters such as personal basic information and behavior data, and set parameters for data collection and upload.

[0006] S2. Collection and storage of user data instrumentation: According to the user data instrumentation plan configured in step S1, collect user data and upload it to the analysis database to provide raw data support for subsequent analysis.

[0007] S3. Configuration of user portrait feature plan: Obtain the analysis parameters determined in step S1, and set the feature configuration, update mechanism, and alarm strategy of the user portrait.

[0008] S4. Analysis and visualization of user portraits: The system obtains the feature configuration in step S3, runs model algorithms to deeply analyze the user data collected in step S2, extracts key information, and generates a user portrait report that conforms to the feature plan.

[0009] S5. Update and alarm of user portraits: Automatically or manually update the user portrait analysis data according to the update configuration in step S3. At the same time, when the user feature data reaches the preset alarm threshold, the system will send an alarm notification in a timely manner.

[0010] Step S1 User Data Embedding Scheme Configuration: This step supports two flexible ways to configure the user data embedding scheme to adapt to scenarios of different scales and requirements: Method 1, Excel Template Document Import (Batch Configuration): Allows users to batch import data embedding configurations through an Excel template to achieve fast and efficient large-scale configuration. This method is suitable for situations where a large number of similar data points need to be configured, which can significantly reduce repetitive work and improve configuration efficiency. Method 2, Configuration System Operation Entry (Single Configuration): Provides a user interface that allows users to enter data embedding configurations one by one. This method is applicable to scenarios where specific data points need to be finely adjusted or individual configurations are required, providing higher flexibility and control.

[0011] Step S2 User Data Embedding Collection: This step ensures that user data embedding collection can comprehensively cover various platforms and devices used by users, including but not limited to: (1) Android and iOS operating systems: For applications on mobile operating systems, collect user behaviors and data. (2) JavaScript: Collect user behaviors and data on the web page through JavaScript code. (3) Mini-programs: For mini-programs on various platforms, collect user behaviors and data. This multi-platform coverage ensures the comprehensiveness and continuity of data, and no matter which platform or device the user is on, their behavior data can be collected.

[0012] Step S3 User Portrait Feature Scheme Configuration: In this step, analysts can use predefined standardized analysis parameters to configure calculation rules for user attributes or user behavior attributes, thereby setting multi-dimensional user portrait configuration rules. The key points of this step are: (1) Flexibility: Allows analysts to freely combine and customize the features of the user portrait according to business requirements. (2) Standardization: Ensures that between different analysts or different projects, the generation of user portraits follows the use of standard analysis factor parameters to ensure data consistency and comparability.

[0013] Step S4 User Portrait Analysis and Visualization: The feature of this step is that analysts can view the visual analysis report under a specific user portrait configuration in real time and intuitively, and promptly grasp user feature data. This includes: (1) Real-time: The system can provide real-time data analysis to ensure that the data viewed by analysts is the latest. (2) Intuitiveness: Through forms such as charts and dashboards, convert complex data into easy-to-understand visual information to help analysts quickly grasp user features.

[0014] Step S5 User Profile Update and Alarm: The feature of this step is that the system can automatically update the visualization analysis data of the user profile and automatically issue an alarm when the user feature data reaches the preset alarm threshold. This includes: (1) Automation: Reducing manual intervention, the system automatically executes the update according to the preset rules, improving efficiency and accuracy. (2) Timeliness: The alarm mechanism ensures that analysts can respond quickly when important changes occur in the data, and adjust strategies or conduct in-depth analysis in a timely manner.

[0015] The beneficial effects of the present invention are as follows: It provides a user profile analysis system that can meticulously depict the behaviors and personal information of users in the Internet environment, and flexibly generate user profile reports with various features through standardized analysis parameter configurations. These reports can reflect the characteristics of different users in different scenarios, thereby helping managers understand users more deeply and assisting in formulating more precise marketing strategies. Through automated and intelligent processing processes, this system greatly improves the efficiency and accuracy of user profile generation, providing a powerful data analysis tool for enterprises. Brief Description of the Drawings

[0016] Figure 1 The flowchart of the user profile analysis and generation method implemented by the present invention is shown. Detailed Embodiment

[0017] The embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0018] As Figure 1 shown, the present invention details an embodiment of a user profile generation method, which realizes in-depth analysis of user data and precise construction of user profiles through a series of refined steps. The following are the detailed descriptions of each step:

[0019] S1. Configuration of User Data Embedding Scheme: In this step, analysts precisely define the scope of user data to be collected through the user data embedding scheme configuration interface. This includes but is not limited to the user's personal basic information such as age, gender, occupation, and the user's behavior data such as login, registration, browsing, purchase records, payment, and other key user behavior parameters. In addition, specific parameters for data collection and upload, such as time zone, version, data source, etc., need to be set to ensure the accuracy and timeliness of the data.

[0020] S2. User Data Embedding Point Collection and Storage: According to the embedding point scheme designed in step S1, the embedding point client module collects user data in real time on various devices and platforms of users, such as Android, iOS, JS, and mini-programs. The data collected by the client is then uploaded to the user collection and storage module, which is responsible for data analysis, sorting, and processing, and finally stores the cleaned user data in the analysis database to provide the basis of user raw data for subsequent user data analysis.

[0021] S3. User Portrait Configuration Management: In this step, analysts configure the feature parameters, update mechanism, and alarm strategy of the user portrait according to the analysis parameters determined in step S1 and in combination with specific business requirements. The flexibility of this step allows analysts to customize the construction rules of the user portrait according to different business scenarios and goals.

[0022] S4. User Portrait Analysis and Visualization Viewing: The system deeply analyzes the massive user data collected in step S2 using model algorithms according to the feature configuration in step S3, extracts key information, and generates a user portrait report that conforms to the feature scheme. Analysts can view these reports in real time and intuitively through the user portrait analysis and visualization viewing interface to timely grasp the changes in user feature data.

[0023] S5. User Portrait Update and Alarm: The system automatically or manually updates the user portrait analysis data according to the update configuration set in step S3 to ensure the timeliness and accuracy of the user portrait. In addition, when the user feature data triggers the preset alarm threshold, the system will send an alarm notification in a timely manner to remind analysts to pay attention to the abnormal changes in the data and make corresponding policy adjustments in a timely manner.

[0024] Through the above steps, the present invention not only realizes the detailed description of the behaviors and personal information of users in the Internet environment, but also flexibly generates user portrait reports with various features through standardized and automated analysis parameter configuration. These reports can accurately reflect the characteristics of different users in different situations, thereby helping managers to more deeply understand user needs and assisting in formulating more accurate marketing strategies. This system greatly improves the efficiency and accuracy of user portrait generation through an automated and intelligent processing flow, providing a powerful data analysis tool for enterprises.

[0025] The above-described embodiments are only examples of the present invention. It should be noted that for those of ordinary skill in the art in this technical field, without departing from the principle of the present invention, several improvements and adjustments can be made according to actual needs, and these improvements and adjustments should also be regarded as the protection scope of the present invention.

Claims

1. A method for generating user portraits based on configuration, characterized in that It includes the following specific steps: S1. Configuration of user data logging scheme: Define the scope of user data collection and set the parameters for data collection and upload. The analysis parameters for the scope of user data collection include personal basic information and behavior data; S2. Collection and storage of user data logging: According to the user data logging scheme configured in step S1, collect user data and upload it to the analysis database to provide raw data support for subsequent analysis; S3. Configuration of user portrait feature scheme: Based on the analysis parameters determined in step S1, set the feature configuration, update mechanism, and alarm strategy of the user portrait; S4. Analysis and visualization of user portrait: Obtain the user portrait feature scheme configuration in step S3, run the model algorithm to deeply analyze the user data collected in step S2, extract key information, and generate a user portrait report that conforms to the feature scheme; S5. Update and alarm of user portrait: Automatically or manually update the user portrait analysis data according to the update mechanism in step S3; at the same time, when the user feature data reaches the preset alarm threshold, the system will issue an alarm notification in a timely manner.

2. The method for generating a user profile based on configuration as claimed in claim 1, wherein: The creation of the user data logging scheme configuration described in step S1 includes the following two methods: (1) Batch import: Import of Excel template documents; (2) Single entry: System operation entry on the configuration page.

3. A method for generating a user profile based on configuration, as claimed in claim 1, wherein: The user data logging collection described in step S2 can cover multiple platforms and devices used by users, including: Android, iOS, JS, and mini-programs.

4. A method for generating a user profile based on configuration, as described in claim 1, wherein: In the user portrait feature scheme configuration described in step S3, analysts can use standardized analysis parameters to configure the corresponding calculation rules for relevant user attributes or user behavior attributes, and set the user portrait configuration rules for different features in multiple dimensions.

5. A method for generating a user profile based on configuration, as claimed in claim 1, wherein: In the user portrait analysis and visualization described in step S4, analysts can view specific user portrait configurations, view the visual analysis report of the user portrait features under this configuration in real time and intuitively, and timely master the feature data.

6. A method for generating a user profile based on configuration, as claimed in claim 1, wherein: In the user portrait update and alarm described in step S5, without human intervention, the system automatically updates the visual analysis data of relevant user portraits. When the user feature data reaches the preset alarm threshold, an alarm is issued to remind analysts to timely master the data change situation and make corresponding adjustment plans in a timely manner.

Images