Tutor-Tutee Matching Server Using Distance and Subject Filtering
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Solution Overview
Problem
Tutors and tutees face difficulties in finding suitable tutoring matches due to considerations of commuting distance, wages, and subject compatibility.
Innovation Solution
A server-based method that calculates commuting distances between tutor and tutee locations using map information and filters user registrations based on distance limits and subject demands, generating results that include commuting expenses and hourly wages for suitable matches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual matching method is used, then flexibility in selection is improved, but time consumption and difficulty in finding suitable cases is worsened
Solution Approach 1:
The system enables tutors and tutees to independently search and select matching cases through automated filtering based on their own requirements (subject, location, wage, distance), eliminating the need for manual intermediary matching while maintaining full selection flexibility
Solution Approach 2:
The patent replaces the manual mechanical matching process with an automated computer-based system that uses algorithms to filter and match cases based on multiple criteria, significantly reducing time consumption while preserving user flexibility in setting their own preferences
2Measurement precision
If comprehensive filtering criteria are applied, then matching precision is improved, but system complexity is worsened
Solution Approach 1:
The patent segments the matching criteria into distinct filterable parameters (subject, location, wage, distance) that can be independently set and adjusted by users, allowing comprehensive matching precision without overwhelming system complexity through modular parameter handling
Solution Approach 2:
The system allows dynamic adjustment of multiple parameters (subject demand, location coordinates, wage requirements, distance limits) to achieve precise matching, with the server automatically processing these parameter changes through standardized filtering algorithms
3Reliability
If multiple filtering parameters are used, then case quality is improved, but processing time is worsened
Solution Approach 1:
The system performs preliminary filtering on all stored cases based on the user's specified parameters before presenting results, pre-processing the matching criteria so that users receive immediate high-quality matches without experiencing processing delays during actual case selection
4Productivity
If automated filtering system is implemented, then efficiency is improved, but information processing requirements are worsened
Solution Approach 1:
The patent extracts only the essential matching parameters (subject, location, wage, distance) from the vast amount of available case information, processing only these key elements to achieve high efficiency while minimizing the quantity of information that needs to be handled
Data Source
AI summary
Steps of a method of case matching for a tutor user are implemented by a server that stores a plurality of tutee cases each including a lecturing location and a subject demand, and a tutor user registration corresponding to the tutor user and including a tutor location, a lecturing subject and a commuting distance limit. The server determines whether the tutee cases include a target tutee case of which the subject demand matches the lecturing subject and a commuting distance between the lecturing location of which and the tutor location is not greater than the commuting distance limit. When the determination is affirmative, the server generates a filtered case result indicating the target tutee case.