Preference Matching for Beverage and Food Recommendation
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Solution Overview
Problem
Existing systems fail to accurately present information regarding products and beverages/foods that conform to a user's preferences, lacking detailed consideration of taste, smell, and food taste preferences.
Innovation Solution
A device that includes a user preference evaluation value storage unit, item evaluation value storage unit, reception unit, determination unit, and product information presentation unit to match user preferences with product information, and a question/answer mechanism to refine user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user preference evaluation values are stored and compared with item evaluation values to determine coincidence, then product recommendation accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the preference evaluation into multiple independent topics (taste, smell, texture, etc.), each with separate evaluation values. This allows the system to handle complex preferences through modular, manageable components rather than a monolithic evaluation system.
Solution Approach 2:
The patent introduces an evaluation value comparison mechanism as an intermediary between user preferences and product recommendations. By comparing user preference evaluation values with item evaluation values across multiple topics, the system determines coincidence degrees and generates recommendations without requiring direct complex user-product matching.
2Measurement precision
If multiple preference evaluation topics are considered for user preferences, then recommendation accuracy is improved, but information processing requirements increase
Solution Approach 1:
The patent divides preference evaluation into distinct topics (taste, smell, texture, temperature, etc.), each processed independently with its own evaluation values. This segmentation reduces the complexity of processing by handling each sensory dimension separately rather than as a single large dataset.
Solution Approach 2:
The patent transforms qualitative user preferences into quantitative evaluation values across multiple parameters/topics. By converting subjective preferences into measurable parameters that can be compared numerically, the system efficiently processes complex preference information through mathematical comparison rather than qualitative analysis.
3Measurement precision
If user preferences are refined through question and answer interactions, then preference accuracy is improved, but user interaction time increases
Solution Approach 1:
The patent performs preliminary preference evaluation by presenting users with targeted questions about their preferences before product recommendation. By gathering preference information through structured questions in advance, the system establishes baseline evaluation values that enable accurate recommendations without requiring extensive interaction during the actual recommendation process.
Solution Approach 2:
The patent implements a feedback mechanism where user answers to preference questions are processed to generate evaluation values, which are then used to provide product recommendations. The system continuously refines preference understanding through this question-answer-feedback loop, improving accuracy while managing interaction time through efficient questioning strategies.
Data Source
AI summary
The present invention is capable of more accurately presenting a product, beverage or food which conforms to the preferences of a user in comparison to the prior art. In response to a request, the present invention extracts from a database a user preference evaluation value associated with a user's preferred taste of a food or beverage item and determines a degree of coincidence with corresponding item evaluation values associated with a taste of a food or beverage item. The present invention then presents to the user one or more food or beverage items having a highest determined degree of coincidence.