Mini Program Material Extraction Automation
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Solution Overview
Problem
The current methods for acquiring and submitting mini app material content are inefficient and of low quality, requiring significant manual effort and resulting in incomplete and poorly formatted content that may not be browsable, leading to reduced traffic acquisition.
Innovation Solution
A method and apparatus for automatically extracting and verifying mini app material content using material extraction rules, acquired from a server, which includes title, description, picture links, and interaction information, and employs asynchronous processing to improve efficiency and quality, ensuring high-quality content distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual submission method is used for mini app material content, then the developer can control the submission process, but the workload is large and the efficiency is low
Solution Approach 1:
The system performs automatic material extraction and verification without requiring developer intervention. The extraction device automatically crawls web pages, extracts material content according to predefined rules, and verifies the extracted materials, enabling the system to serve itself rather than relying on manual developer submission
Solution Approach 2:
The manual mechanical process of developer submission is replaced with an automated electronic system. The extraction device uses computer programs to automatically access web pages, extract content, and verify materials, substituting the manual mechanical workflow with an automated electronic processing system
2Reliability
If manual submission method is used for mini app material content, then the developer can review each item, but the quality of the submitted material content is hard to guarantee
Solution Approach 1:
The system implements a verification mechanism that provides feedback on the extracted material content. The verification module checks whether the extracted materials meet quality standards and provides feedback for correction or rejection, ensuring reliable quality control while maintaining automated high-volume processing
Solution Approach 2:
The verification process is performed in advance before the material content is submitted for distribution. By conducting preliminary verification of completeness and quality, the system ensures that only high-quality materials are submitted, preventing poor quality content from reaching the distribution stage
3Productivity
If automatic extraction is implemented, then the workload is reduced, but the material content may include blank pages, invalid links, or unclear pictures
Solution Approach 1:
The verification module provides feedback on the quality and completeness of extracted materials, identifying issues such as blank pages, invalid links, or unclear pictures, and enabling correction or rejection of problematic content
Solution Approach 2:
The verification process is performed in advance to identify and filter out low-quality extracted content before submission, ensuring that only complete and high-quality materials are distributed
4Quantity of substance
If comprehensive material extraction is performed, then the quantity of material content is increased, but the extraction process becomes more complex
Solution Approach 1:
The extraction process is segmented into distinct functional modules: a crawling module for accessing web pages, an extraction module for extracting material content according to predefined rules, and a verification module for quality checking. This segmentation allows comprehensive extraction while managing complexity through modular design
Solution Approach 2:
The extraction device is designed as a universal system that can extract multiple types of material content (text, images, videos, links) from various web page formats using a unified extraction framework, reducing complexity while maintaining comprehensive extraction capabilities
Data Source
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AI summary
The present disclosure provides a method and apparatus for processing a mini app material, an electronic device and a medium, relates to the field of data processing technology. A specific implementation includes: detecting whether a mini app page is jumped to a new page of a business party of a mini app, during operation of the mini app; and if yes, extracting a material content of the new page based on a material extraction rule of the mini app, for as a new material content of the mini app. Embodiments of the present disclosure reduce the workload of the developer for material extraction by automatically extracting mini app materials, improve the efficiency of material extraction, and extract the material content of the new page based on the material extraction rule, thereby more comprehensively acquiring large quantity and high-quality materials, and further improving a subsequent distribution efficiency of the mini app.