User Matching System Using Timeline-Based Milestone Segmentation

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Solution Overview

Problem

Existing information sources fail to provide proactive, personalized guidance for individuals navigating significant life transitions, as they often lack relevant and timely information, and do not effectively connect users with similar experiences, leading to difficulties in managing life events.

Innovation Solution

A computer-implemented method and system that crowdsources user input to identify life events and milestones, matches users based on their experiences, and provides recommendations for connections through a platform that enables users to share insights and support each other, utilizing a timeline-based approach to facilitate community wisdom and personalized advice.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If traditional search engines and information sources are used, then users can access general information, but the information is not personalized and may not be relevant to the user's specific life transition needs

Engineering Contradiction:
Improverelevance of informationVSAvoidpersonalization capability
Core Design Contradiction:
Loss of informationVSAdaptability or versatility

Solution Approach 1:

The patent segments life transitions into discrete milestones and stages, allowing information to be tailored to specific phases of a user's journey. The system divides the broad category of life events into manageable segments (e.g., pregnancy stages, career transition phases) and connects users with others at comparable milestones, ensuring highly relevant information delivery.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary actions by proactively identifying users who are likely to experience specific life transition milestones based on their current state or expressed interests. It prepares and delivers relevant information and connections before users actively search for them, anticipating needs based on predicted future milestones.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If paid professionals provide advice, then users receive professional guidance, but they cannot address non-professional aspects such as emotional well-being

Engineering Contradiction:
Improvequality of adviceVSAvoidscope of support
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent merges professional guidance with peer support by integrating multiple types of helpers into a single platform. Users receive a combination of expert advice (from professionals) and emotional support (from peers undergoing similar transitions), creating a comprehensive support system that addresses both practical and emotional needs within one ecosystem.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system creates a universal platform that serves multiple functions: providing professional advice, facilitating peer connections, delivering informational content, and offering emotional support. This multi-functional approach allows a single system to address diverse needs that previously required separate resources.

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

3Loss of information

If users search for information manually, then they can find some relevant content, but the process is time-consuming and lacks structure

Engineering Contradiction:
Improvecompleteness of informationVSAvoidtime to find information
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary organization of information by milestone and stage, so users do not need to manually search through unstructured content. Information is pre-categorized and delivered proactively based on the user's current position in their life transition journey, saving significant time and ensuring completeness.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system incorporates feedback mechanisms where user interactions, questions, and progression through milestones continuously refine the information delivery. The system learns from user behavior and adjusts the timing, type, and relevance of information provided, creating an adaptive feedback loop that improves information completeness over time.

Inventive Principle:
Principle #23Feedback

4Quantity of substance

If users connect with online friends, then they have a large network, but they struggle to find trustworthy people with similar experiences

Engineering Contradiction:
Improvenumber of connectionsVSAvoidmatch accuracy
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent segments the user network by matching individuals at specific milestones rather than creating broad, undifferentiated connections. Users are connected with others who are at comparable stages in their life transitions, ensuring higher relevance and trustworthiness. This segmentation transforms a large but generic network into targeted, meaningful connections.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system applies local quality by tailoring connection recommendations to each user's specific context, milestone, and needs. Rather than uniform connection strategies, the system adjusts matching criteria locally for each user based on their unique journey stage, ensuring high precision in connections while maintaining the ability to scale to large numbers of users.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS11750555B2Systems and methods for user matching
Publication Date: 2023.09.05 WISDO LTD
  • US11750555B2 patent drawing
  • US11750555B2 patent drawing
  • US11750555B2 patent drawing

AI summary

Systems and methods are provided herein for matching between a plurality of users. A computer-implemented method for matching between a plurality of users may be provided. The method may include receiving input data from a plurality of devices associated with the plurality of users, analyzing the input data to determine, for each user and life event, which step(s) on a timeline of the life event that each user (a) has experienced, (b) is currently experiencing, or (c) likely to experience in the future; and matching the plurality of users with one another.