Recipe Ingredient-to-Product Mapping System
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Solution Overview
Problem
Users face inefficiencies when searching for and ordering ingredients for recipes, as they must manually browse online catalogs, which is time-consuming and resource-intensive.
Innovation Solution
A system that identifies recipe ingredients and maps them to corresponding products, allowing users to add all necessary items to an online basket with a single-select option, utilizing predictive platforms and machine learning models to automate the ingredient-to-product mapping process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually browse online catalogs to order ingredients, then they can find and order products, but the process is time-consuming and resource-intensive
Solution Approach 1:
The system performs preliminary actions by pre-processing recipe information, extracting ingredient lists, and pre-matching ingredients with corresponding products in the online catalog before the user actually places an order. This preparation work is done in advance, so when the user wants to order, the matching is already completed or near-completed, significantly reducing the time and effort required at the moment of ordering.
Solution Approach 2:
The patent introduces an intermediary component (the ingredient-to-product mapping system) that sits between the recipe information and the online catalog. This intermediary automatically performs the matching and translation work, converting recipe ingredients into corresponding catalog products, thereby eliminating the need for users to manually search and compare, and resolving the contradiction between ease of operation and time consumption.
2Reliability
If users manually search for products matching recipe ingredients, then they can order the correct items, but the process requires significant user effort and resources
Solution Approach 1:
The system implements self-service by enabling automatic self-matching of ingredients to products. The mapping system autonomously performs the complex task of identifying and matching ingredients with corresponding catalog items without requiring user intervention in the matching process itself. Users simply provide recipe information, and the system handles the rest, maintaining high reliability while reducing the operational complexity users must manage.
Solution Approach 2:
The patent replaces the manual mechanical process of searching and matching (where users would manually browse catalogs and compare ingredients) with an automated computational system. This substitution uses algorithms and data processing to perform the matching task, thereby reducing the operational complexity for users while maintaining or improving the accuracy of ingredient ordering through consistent, error-free automated matching.
3Productivity
If the system automates ingredient-to-product mapping, then ordering efficiency improves, but the system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the overall ordering system into distinct functional modules: recipe information processing module, ingredient extraction module, ingredient-to-product mapping module, and order placement module. This modular segmentation allows each component to be developed, maintained, and optimized independently, thereby improving productivity through specialized processing while managing system complexity through clear separation of concerns and reduced interdependencies.
Data Source
AI summary
A system including one or more processors; and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: parsing a hypertext markup language source code from text strings of query strings of a webpage containing ingredients for a recipe; extracting, using an iterative process, the ingredients for the recipe from the query strings of the webpage; mapping recipe products based on quantities or units of measure of the ingredients, as extracted, for the recipe; and automatically adding the recipe products to an electronic shopping cart. Other descriptions are disclosed.