Ingredient-Data Recipe Generation for Accurate Cooking Output
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Solution Overview
Problem
Existing recipe preparation methods lack accuracy and reliability due to direct synchronization of user input data with preset templates, resulting in low-quality recipes.
Innovation Solution
A method and apparatus that analyze ingredient-related data, including type, process, cuisine, and performance, to identify pending optimization situations and generate recipes based on these data, optimizing the recipe generation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If user input data is directly synchronized with preset templates to generate recipes, then the recipe generation process is simple and fast, but the accuracy and reliability of the generated recipes are low
Solution Approach 1:
The patent introduces an intermediary data processing layer between user input and recipe generation. This layer includes data cleaning modules that remove noise and error data, data analysis modules that process ingredient information, and data matching modules that align processed data with recipe templates. This intermediary processing ensures data quality and compatibility, thereby improving recipe accuracy while maintaining generation efficiency
Solution Approach 2:
The patent performs preliminary data processing and validation before recipe generation. User input data undergoes preprocessing including format standardization, completeness validation, and compatibility checking against the recipe template system. This preliminary action prevents errors from propagating to the final recipe output, ensuring higher reliability without significantly impacting generation speed
2Reliability
If comprehensive ingredient-related data is collected and analyzed to improve recipe quality, then the accuracy and reliability of recipes improve, but the complexity of the recipe generation system increases
Solution Approach 1:
The patent divides the recipe generation system into distinct functional modules: data acquisition module, data cleaning module, data analysis module, data matching module, and recipe generation module. Each module handles a specific aspect of the data processing pipeline, making the overall complex system manageable and maintainable. The segmentation allows comprehensive data processing without creating an unmanageably complex monolithic system
Solution Approach 2:
The patent designs a universal data processing framework that can handle multiple types of ingredient-related data (nutrition information, storage requirements, compatibility data, user preferences) through standardized processing procedures. This multi-functional approach allows the system to process diverse data inputs using the same core infrastructure, reducing complexity compared to having separate processing paths for each data type
Data Source
AI summary
A method and an apparatus for recipe preparation based on ingredient-related data, the method includes: acquiring ingredient-related data of a target combination of ingredients uploaded by a user, the ingredient-related data comprising one or more of an ingredient type, a cooking process, a cooking cuisine, a finished cooking product and a cooking performance; analyzing a pending optimization situation corresponding to the target combination of ingredients according to the ingredient-related data; and generating a cooking recipe corresponding to the target combination of ingredients according to the pending optimization situation and the ingredient-related data. It is evident that the present application improves the comprehensiveness, flexibility and intelligence of the cooking recipe generation manner, which improves the reasonableness, dependability and optimizability of the generation of cooking recipes, which improves the accuracy and reliability of the generated cooking recipes, and which also improves the diversity and completeness of the generated cooking recipes.