Child Care Recommendation Platform Using 3D Vector Matching
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Solution Overview
Problem
Pre-parents and parents face a heavy mental and financial burden in caring for children due to the lack of reliable and personalized child care information, with existing methods relying on acquaintances and websites providing inadequate and unreliable data.
Innovation Solution
A child care information platform server generates a 3D characteristic vector based on user input, calculating vector similarity with standard vectors for child care products to recommend the most suitable products, thereby reducing the burden on users by providing personalized and accurate information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pre-parents and parents obtain child care information from acquaintances or websites, then they can access some child care information, but the information is unreliable, limited, and lacks personalization
Solution Approach 1:
The patent transforms qualitative child care information into quantitative parameters by generating a 3-dimensional characteristic vector from user inputs (mother's personal information, health condition, and child's health condition). This parameter transformation enables mathematical comparison and personalized recommendation, resolving the contradiction between information reliability and personalization.
Solution Approach 2:
The patent replaces the mechanical/manual method of obtaining information from acquaintances or browsing websites with an automated information processing system. The server automatically processes user inputs, calculates vector similarities, and generates personalized recommendations, eliminating the unreliability and lack of personalization inherent in manual information gathering.
2Loss of information
If pre-parents and parents search for child care information manually, then they can find some relevant information, but it requires excessive time and effort
Solution Approach 1:
The patent implements preliminary action by pre-classifying child care products into multiple categories and pre-defining 3-dimensional standard vectors for each product before user queries. When users seek information, the system quickly matches their characteristic vector against pre-prepared standard vectors, dramatically reducing search time while maintaining information completeness.
Solution Approach 2:
The system enables self-service by automatically processing user inputs and generating personalized recommendations without requiring manual search or filtering. The server autonomously calculates vector similarities and selects the most suitable child care products, freeing users from time-consuming information search while providing comprehensive results.
3Adaptability or versatility
If generic child care information is provided, then it can cover a broad range of cases, but it cannot accurately match specific user needs
Solution Approach 1:
The patent applies local quality by creating personalized characteristic vectors for each user based on their specific inputs (mother's personal information, health condition, and child's health condition). Instead of using a single generic information source, the system tailors the information matching process to each user's unique characteristics, achieving both broad applicability and precise matching.
Solution Approach 2:
The patent implements dynamics by making the child care information recommendation adaptive and changeable based on user inputs. The system dynamically generates characteristic vectors from user-provided information and dynamically selects recommendations based on real-time vector similarity calculations, allowing the information to adapt to each user's specific needs rather than remaining static and generic.
Data Source
AI summary
Disclosed are a child care information platform server for recommending information regarding child care based on user information and the operating method thereof. A child care information platform server and the operating method thereof according to an embodiment of the present invention is possible to support recommendation of a child care product for each of a plurality of categories by generating a 3 dimensional characteristic vector based on a mother's personal information and health condition, and a child's health condition which are received from a user terminal, calculating the vector similarity between the 3 dimensional characteristic vector and the predetermined standard vectors of each of the plurality of child products, for each of the plurality of categories, and selecting a recommended child care product wherein the vector similarity of the recommended child care product is biggest among the plurality of child care products.