Recipe recommendation method, device, medium and apparatus
By processing user feedback and device data through a root cause localization model, recipe parameters are optimized, solving the adaptation problem of intelligent recipe recommendation systems, enabling personalized and practical recipe recommendations, and improving cooking results.
CN122220609APending Publication Date: 2026-06-16NINGBO FOTILE KITCHEN WARE CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NINGBO FOTILE KITCHEN WARE CO LTD
- Filing Date
- 2026-02-09
- Publication Date
- 2026-06-16
AI Technical Summary
Technical Problem
Existing intelligent recipe recommendation systems cannot adapt to differences in user tastes, ingredient conditions, and kitchen equipment performance, making it difficult to guarantee cooking results.
Method used
The root cause localization model is used to process user feedback data and device sensor data to obtain a causal association dataset. The recipe parameters are then optimized by combining the performance of kitchen appliances and users' historical cooking data to achieve dynamic recommendations.
Benefits of technology
It provides personalized and practical recipe recommendations to improve cooking results, meet user needs, avoid operational failures, and increase the success rate of cooking.
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Smart Images
Figure CN122220609A_ABST
Abstract
The application discloses a recipe recommendation method and device, a medium and equipment, relates to the technical field of intelligent household appliances, and comprises the following steps: acquiring user feedback data and device sensor data; performing root cause positioning processing on the user feedback data and the device sensor data based on a root cause positioning model to obtain a cause-effect association data set; the cause-effect association data set comprises at least one cause-effect association data indicating an association relationship between the device sensor data and the user feedback data; acquiring performance information corresponding to a kitchen electrical appliance and user historical cooking data; and performing optimization processing on an initial recipe based on the at least one cause-effect association data, the performance information corresponding to the kitchen electrical appliance and the user historical cooking data to obtain a target recipe, wherein the target recipe comprises target cooking parameters for a target user. The application realizes dynamic recommendation of a recipe by optimizing the cooking parameters of the recipe, and provides a more practical and user-demand-oriented recipe for the user.
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