Program recommendation for a device program
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Solution Overview
Problem
Users face difficulty in selecting the most suitable program for their domestic appliances due to the numerous options available, often defaulting to the same program without considering their unique needs or preferences, which can't be inferred from one user to another.
Innovation Solution
A method that determines a user profile and matches it with similar users' profiles to provide program recommendations based on user satisfaction scores, grouping programs by category and selecting those with the highest satisfaction values, ensuring relevant and personalized suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple device programs are offered to users, then program functionality and adaptability are improved, but program selection difficulty increases
Solution Approach 1:
The system automatically generates program recommendations by analyzing user profiles and satisfaction scores without requiring users to manually evaluate multiple program options, enabling the system to serve itself in making intelligent program selections
Solution Approach 2:
The system uses user satisfaction scores as feedback to continuously improve program recommendations, creating a closed-loop system where user responses to program performance inform future recommendations and refine the recommendation algorithm
2Measurement precision
If user profiles are analyzed to provide personalized recommendations, then recommendation accuracy is improved, but data processing complexity increases
Solution Approach 1:
The system creates simplified user profiles that capture essential user characteristics and preferences without requiring complex data structures, copying only the most relevant user attributes needed for accurate matching and recommendation
Solution Approach 2:
The user profile structure serves multiple functions simultaneously: it stores user preferences, enables similarity matching with other users, and provides the basis for generating recommendations, reducing the need for separate complex processing systems
Data Source
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AI summary
A method for determining a program recommendation for a device program of a household appliance includes steps of determining a user profile of a user of the household appliance; determining several other users of other household appliances whose assigned user profiles are similar to the user profile of the user; determining device programs that the other users have used with the other household appliances; and providing a program recommendation to the user based on the users' satisfaction scores with the device programs used.