User Clustering at Waypoints via Attribute Analysis

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Solution Overview

Problem

Current social networking sites only facilitate virtual interactions and do not effectively assist users in meeting others with complementary interests and experiences in the physical world, requiring users to manually invite individuals and missing opportunities to connect with like-minded people.

Innovation Solution

A method that receives user attributes to populate profiles, analyzes these attributes to identify complementary users in a geographic area, clusters them, and directs users to meet at a designated waypoint, monitoring participation duration to assess success and adjust algorithms accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If users manually send messages to invite individuals to meet, then users can meet with specific individuals they know, but the process is inefficient and users cannot discover new individuals with complementary interests

Engineering Contradiction:
Improveefficiency of meeting arrangementVSAvoidability to discover new complementary users
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The system automatically performs user matching and meetup arrangement without requiring manual invitations. The social networking service analyzes user profiles, identifies complementary interests, and autonomously organizes meetups, allowing the system to serve itself in the matchmaking process rather than relying on user-initiated invitations.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system uses feedback from user interactions, profile data, and meetup outcomes to continuously improve matching algorithms. By analyzing successful meetups and user preferences, the system refines its ability to identify complementary users, creating a closed-loop system that learns and adapts from accumulated data.

Inventive Principle:
Principle #23Feedback

2Ease of operation

If social networking services only provide virtual interaction capabilities, then the platform is simple to operate, but users cannot meet with complementary individuals in the physical world

Engineering Contradiction:
Improvesimplicity of platform operationVSAvoidcapability to facilitate physical meetups
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The social networking service expands from单一的虚拟交流功能 to multiple functions including profile analysis, user matching, meetup coordination, and location management. The platform becomes a multi-functional system that handles both virtual interaction and physical meetup organization, serving diverse user needs within a single system.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system acts as an intermediary between users seeking physical meetups. It analyzes profiles, identifies complementary users, and coordinates meetup arrangements, serving as a mediating layer that connects users while maintaining platform simplicity. The intermediary function automates the complex matching process without requiring users to manually manage each aspect of meetup organization.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Productivity

If the system clusters users based on complementary attributes, then users can efficiently meet with like-minded individuals, but the system complexity increases due to algorithm development and monitoring

Engineering Contradiction:
Improveefficiency of user matchingVSAvoidcomplexity of matching algorithm
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The matching system is divided into separate functional modules: profile attribute extraction, complementary interest identification, user clustering, and meetup coordination. Each module handles a specific aspect of the matching process, making the overall complex system manageable through functional segmentation and independent development of each component.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS10929492B2Utilizing attributes of users to cluster users at a waypoint
Publication Date: 2021.02.23 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US10929492B2 patent drawing
  • US10929492B2 patent drawing
  • US10929492B2 patent drawing

AI summary

A method, system and computer program product for assisting a user to meet with other users with complementary attributes. Attributes (e.g., likes, dislikes) of a user, such as a user of a mobile device, are received to populate a profile of the user. The user attributes of profiles of actively participating users that are located in a geographic area are analyzed with respect to the attributes of the user to identify other users with complementary profiles. Those users with complementary profiles as the user are clustered to form a “cluster” at a designated waypoint. Directions are then provided to the user to reach the designated waypoint to meet the other users of the same cluster. In this manner, the user is able to meet other users in the physical world with complementary interests and experiences at a designated waypoint.