Mini Program Intelligent Screening for Terminal Adaptation
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Solution Overview
Problem
The distribution of mini programs is inefficient and inaccurate due to manual selection processes, leading to subjective results, poor timeliness, high labor costs, and poor user experience, as existing methods rely heavily on manual calibration and cannot synchronize the latest mini program packages in time.
Innovation Solution
A method for intelligent mini program processing that involves receiving a query service request from a terminal, screening mini programs based on terminal parameters or application categories, and issuing the appropriate mini programs, which includes acquiring historical operation status and real machine verification results to ensure timely and accurate distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual selection and screening is used for mini program distribution, then subjective factors can be considered, but the labor cost is high and timeliness is poor
Solution Approach 1:
The patent replaces the manual mechanical selection process with an automated intelligent screening system that uses machine learning models and algorithms to automatically match mini programs with terminal devices, eliminating the need for manual calibration and significantly improving both automation extent and timeliness
Solution Approach 2:
The system enables self-service distribution where the intelligent screening mechanism automatically performs the distribution task without human intervention, allowing the system to serve itself in terms of mini program allocation based on terminal characteristics and historical operation data
2Measurement precision
If manual calibration is performed for mini program distribution, then selection accuracy can be improved, but the labor cost increases
Solution Approach 1:
The patent substitutes manual calibration with an intelligent screening system that uses machine learning algorithms to automatically achieve accurate matching, maintaining high measurement precision while dramatically improving productivity by eliminating manual labor
Solution Approach 2:
The system incorporates feedback mechanisms that use historical operation data and terminal characteristics to continuously improve the accuracy of mini program matching, allowing the system to learn from past performance and refine its screening accuracy over time
3Adaptability or versatility
If all mini programs are pulled and screened manually, then comprehensive selection is possible, but the process complexity and labor cost increase
Solution Approach 1:
The patent extracts only the essential characteristics and parameters needed for matching from the complex mini program data, using intelligent screening to identify and select only the relevant features for adaptation, thereby maintaining versatility while reducing process complexity
Solution Approach 2:
The system changes parameters by using terminal characteristics and historical operation data as key parameters for screening, transforming the complex selection process into a parameter-based matching system that maintains adaptability while simplifying the overall process
Data Source
AI summary
The present application discloses a mini program processing method, an apparatus, a device, and a storage medium, which relates to the technical field of Internet, in particular to the technical field of information processing. The technical solution disclosed in the present application can be applied to a mini program service platform, the detail technical solution includes: through receiving a query service request initiated by a user, screening, according to at least one of the terminal parameter and the application category in the query service request, a set of mini program adapted to at least one of a terminal parameter and an application category of a terminal, issuing the set of mini programs to the terminal, the set of mini programs includes at least one mini program adapted to the terminal parameter and the application category.