Restaurant Menu Recommendation System Using Taste Data Segmentation
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Solution Overview
Problem
Existing information management systems struggle to provide effective order proposals for users visiting unfamiliar restaurants within a chain, as they rely solely on local order records, leading to difficulties in generating personalized menu recommendations and inefficient selection processes due to limited display areas on mobile terminals.
Innovation Solution
An information management system that retrieves user taste information and associates it with identification data, allowing for the arrangement and display of menu items from a second restaurant chain based on taste preferences, even when no local order records exist, by prioritizing menu items according to user taste and restaurant specifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system relies solely on local order records at the second restaurant, then it can provide personalized recommendations, but it fails to generate effective proposals when no local order records exist
Solution Approach 1:
The patent segments the recommendation data source into two parts: local order records (when available) and taste information from other restaurants in the same chain (when local records are insufficient). This segmentation allows the system to maintain personalized recommendations across different scenarios, resolving the contradiction between adaptability and reliability.
Solution Approach 2:
The patent introduces an intermediary mechanism by using taste information from other restaurants in the chain as a bridge when local order records are unavailable. This intermediary data source enables the system to generate effective recommendations even at new or unfamiliar restaurants, maintaining reliability while adapting to different contexts.
2Quantity of substance
If the system displays all menu items, then it provides complete information, but it becomes inefficient for users to find suitable items due to limited display area
Solution Approach 1:
The patent extracts and prioritizes menu items based on the user's taste information, displaying only the most relevant items first. This extraction approach maintains complete menu information availability while significantly improving selection efficiency by presenting personalized recommendations at the top of the display, addressing the contradiction between information completeness and ease of operation.
Solution Approach 2:
The patent performs preliminary arrangement of menu items according to user taste preferences before display. By pre-organizing items in order of relevance, the system enables users to quickly find suitable items without scrolling through the entire menu, thus maintaining information completeness while greatly improving selection efficiency on limited display areas.
3Adaptability or versatility
If the system displays menu items in standard order, then it maintains restaurant specifications, but it reduces personalization based on user taste preferences
Solution Approach 1:
The patent applies local quality by differentiating the display arrangement: menu items are arranged in personalized order based on user taste for the portion the user can see, while maintaining that the complete menu retains restaurant specifications. This local personalization approach increases adaptability without excessive complexity, as the reordering is applied selectively to visible items rather than the entire menu structure.
Data Source
AI summary
A method for providing information includes: arranging, on the basis of taste information regarding a user and the menu information regarding a second restaurant indicated by a store identifier, first menu items included in the menu information in order according to the taste information; and causing the first menu items arranged in the order according to the taste information to be displayed in a first display area of a display screen of a terminal apparatus, and causing second menu items specified by the second restaurant to be displayed in a second display area of the display screen.