User Location Assignment Based on Shared Characteristics

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Solution Overview

Problem

Current social network technologies do not effectively utilize user information to facilitate the connection of individuals based on shared characteristics for occupying physical locations, such as seats on airplanes or events, leading to random seating arrangements.

Innovation Solution

A system that acquires user characteristics, matches users with attendees based on shared characteristics, and assigns the right to occupy specific physical locations, including notification and payment options for users to obtain these locations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If users are assigned physical locations randomly based on ticket purchase, then the allocation process is simple and fast, but users cannot connect with people based on shared characteristics and interests

Engineering Contradiction:
ImproveAbility to connect users based on characteristicsVSAvoidComplexity of location assignment system
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system collects and processes user characteristics data in advance before the event or travel, building a user profile database that enables characteristic-based matching. This preliminary action allows the matching algorithm to efficiently assign locations based on compatibility without adding complexity during the actual assignment process.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system incorporates user feedback from previous events to continuously improve matching accuracy. By analyzing user interactions, satisfaction levels, and preference data, the system refines its matching algorithm to better connect users with compatible characteristics, enhancing the adaptability of the location assignment system.

Inventive Principle:
Principle #23Feedback

2Reliability

If users are assigned physical locations based on characteristic matching, then social connections are enhanced, but the allocation process becomes more complex and time-consuming

Engineering Contradiction:
ImproveQuality of user connectionsVSAvoidTime for location assignment process
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

User characteristics and preferences are collected and processed in advance, creating ready-to-use user profiles before the event. This preliminary data preparation enables rapid matching during the assignment phase, reducing the actual time required for location allocation while maintaining high connection quality.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent replaces manual or simple random assignment mechanisms with an automated computer-based matching system that uses algorithms to analyze user characteristics and make optimal location assignments. This automation significantly reduces processing time while improving the reliability of connections.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If detailed user characteristics are collected and analyzed, then matching accuracy is improved, but data processing requirements and system complexity increase

Engineering Contradiction:
ImproveAccuracy of user matchingVSAvoidComplexity of data processing system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system extracts only the most relevant characteristics from comprehensive user data, focusing on key attributes that drive compatibility such as interests, preferences, and demographic factors. This selective extraction maintains high matching accuracy while reducing data processing requirements and system complexity.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies different levels of data analysis to different user characteristics based on their importance for matching. High-weight characteristics receive more detailed processing while lower-weight characteristics use simpler classification, optimizing the balance between accuracy and system complexity.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS9904894B2User specific location assignment and valuation
Publication Date: 2018.02.27 TERMINAL 0
  • US9904894B2 patent drawing
  • US9904894B2 patent drawing
  • US9904894B2 patent drawing

AI summary

Systems and methods for assigning a user to a physical location. User data that includes characteristics of a user is acquired. The user is matched with an attendee based on the user characteristics and attendee characteristics of the attendee. A physical location is determined based on a location that the attendee matched to the user will occupy. A notification including an identification of the physical location, an identification of the attendee, and the attendee characteristics are sent to the user. Input is received that indicates whether the user wants to obtain a right to occupy the physical location and if the input indicates that the user wants to obtain the right to occupy the physical location, then the right to occupy the physical location is obtained.