Electronic Device Personalized Shopping List Generation
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Solution Overview
Problem
Existing shopping information services struggle to accurately interpret user intent, often failing to provide relevant results due to text-based searches and lack of user-specific information, such as allergies or preferences, leading to incorrect product recommendations.
Innovation Solution
An electronic device and method that processes user input data to extract target and purpose keywords, using artificial intelligence to modify product identification information based on user-specific details like nationality, age, and preferences, ensuring accurate and personalized shopping lists are generated.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If text-based search is used to find products, then the search process is simple, but the search accuracy and relevance of results deteriorate when user intent is not clearly expressed or when input is not direct product names
Solution Approach 1:
The patent introduces an intermediary processing layer between user input and product search. The system extracts keywords from user input data (which may be indirect or descriptive) and uses these keywords as mediators to accurately identify and retrieve relevant products, resolving the contradiction between simple input and accurate results
Solution Approach 2:
The system changes the search parameters from direct text matching to keyword extraction and transformation. By converting various forms of user input into standardized keywords and using these transformed parameters for search, the system achieves both operational simplicity and search accuracy
2Productivity
If general product search is performed without user information, then the search process is fast and simple, but the relevance to individual user needs deteriorates
Solution Approach 1:
The system performs preliminary extraction of user information and keyword identification before the actual product search. By preparing user profiles and keyword mappings in advance, the system can quickly retrieve relevant products without sacrificing accuracy, maintaining both speed and reliability
Solution Approach 2:
The patent applies local quality by tailoring search results to specific user characteristics and needs. Instead of providing uniform results to all users, the system adjusts product recommendations based on individual user information, ensuring high relevance while maintaining efficient processing
3Quantity of substance
If search results include all matching products, then the completeness of results is high, but the quality and usefulness of results deteriorate due to inclusion of irrelevant items
Solution Approach 1:
The system segments search results into different categories based on user information and keyword relevance. By dividing the result set into segments according to user preferences and extracting quality indicators, the system can provide comprehensive results while filtering out irrelevant items, maintaining both quantity and quality
Data Source
AI summary
An electronic device and method are provided. The electronic device includes a memory storing at least one instruction, and a processor configured to execute the at least one instruction to: obtain a target keyword and a purpose keyword from user input data; obtain a plurality of pieces of identification information on each of a plurality of purchase products based on the target keyword and the purpose keyword; and obtain a purchase product list by changing at least one piece of identification information among the plurality of pieces of identification information based on information related to a user.