Mediating Device Dynamic Preference Matching
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Solution Overview
Problem
Existing mediating technologies fail to efficiently connect and match multiple terminals based on user preferences, leading to suboptimal interpersonal relationships and communication experiences.
Innovation Solution
A mediating method and device that receive and compare lists of user preferences from multiple terminals, search for common interests, and mediate connections based on priority rankings and satisfaction levels, adjusting rankings in real-time to optimize user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing mediating technologies are used to connect terminals, then basic communication functionality is provided, but user matching efficiency and communication satisfaction are suboptimal
Solution Approach 1:
The patent dynamically adjusts the weights of different preference items based on user interaction data and feedback. The mediating device modifies preference parameters in real-time to optimize matching accuracy, transforming static preference lists into dynamic, adaptive profiles that improve both matching efficiency and communication satisfaction
Solution Approach 2:
The system implements a feedback mechanism where user interaction outcomes are analyzed and used to refine future matching decisions. The mediating device receives feedback from actual communications and adjusts preference weights accordingly, creating a continuous improvement loop that enhances matching quality over time
2Measurement precision
If simple matching criteria are used, then processing speed is fast, but matching accuracy and user satisfaction are insufficient
Solution Approach 1:
The patent divides user preferences into multiple discrete items with individual weights (first preference item, second preference item, etc.). Each preference item is analyzed and weighted separately, allowing the system to achieve high matching accuracy through modular, manageable segments rather than attempting to process complex preferences as a single unit
Solution Approach 2:
The system applies different weight values to different preference items based on their relative importance to the user. By assigning local quality (different weights) to different segments of the preference structure, the system achieves high overall matching accuracy while maintaining computational efficiency through selective focus on high-weight items
3Adaptability or versatility
If static preference lists are used, then system operation is simple, but adaptability to changing user interests is poor
Solution Approach 1:
The patent transforms static preference lists into dynamic structures where weights are continuously adjusted based on user behavior and feedback. The preference items remain structurally simple, but their weights become dynamic variables that adapt to changing user interests, maintaining ease of operation while achieving high adaptability
Solution Approach 2:
The system pre-establishes a framework of preference items and weight adjustment mechanisms that can automatically adapt to changing conditions. By preparing the structural framework in advance with built-in adaptability features, the system can respond to changing user interests without requiring complex real-time reconfiguration
Data Source
AI summary
A mediating method by a mediating device comprises receiving a first list including at least one item from a first terminal and receiving at least one list from at least one terminal different from the first terminal, searching for a list including an item corresponding to at least one item among the at least one item of the first list, among the received at least one list, and transmitting information on the corresponded item, according to a result of the search, to each of the first terminal and a terminal which provides the list including the item corresponding to the at least one item among the at least one terminal.