User Personality Classification for Social Network Personalization

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Solution Overview

Problem

Social networks lack the ability to distinguish users based on their unique characteristics, such as personality and behavior, leading to uniform treatment of users, which does not leverage individual differences for personalized interactions and recommendations.

Innovation Solution

A computer-implemented method and system that assigns a character or personality class to users by determining their personality characteristics through questionnaires or user actions, generating career and relationship profiles, and providing compatibility scores and interest lists based on these classifications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If social networks treat all users in similar and consistent ways with uniform profiles, then the system is simple to operate and easy to implement, but the ability to distinguish users based on unique characteristics is lost

Engineering Contradiction:
Improveease of useVSAvoiduser distinction capability
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent segments users into different character classes (e.g., warrior, mage, healer) based on personality assessments and behavioral analysis. This segmentation allows the system to distinguish users while maintaining a structured framework that doesn't overly complicate the interface.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system changes the parameter of user classification from uniform categorical profiles to dynamic personality-based character classes. By assessing users through questionnaires and analyzing their actions, the system assigns character classes that reflect individual differences, thereby improving adaptability without requiring complex user input for profile management.

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If social networks implement personality assessments and character class assignments, then user distinction and personalization capability is improved, but the system complexity increases

Engineering Contradiction:
Improveuser personalization capabilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system performs preliminary personality assessments during user registration or through optional questionnaires, and continuously analyzes user actions automatically. This preliminary action establishes character classes before personalized features are needed, avoiding the need for complex real-time assessments during user interactions.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system automatically assesses user personalities by analyzing their actions, behavior patterns, and questionnaire responses without requiring manual configuration. This self-service approach reduces complexity by eliminating the need for users to manually set up personalized profiles while still achieving detailed user distinction.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If social networks collect and analyze user personality data and behavior patterns, then measurement precision of user characteristics is improved, but the quantity of data processing and storage requirements increases

Engineering Contradiction:
Improvepersonality assessment accuracyVSAvoiddata volume
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent extracts only the essential personality traits and behavioral patterns needed for character class assignment from user data. Rather than storing and processing all raw user interactions, the system identifies and extracts key indicators (e.g., response patterns to questionnaire items, specific action types) that sufficiently distinguish user personalities.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system collects more data than strictly necessary through comprehensive questionnaires and continuous action monitoring, then uses statistical methods to identify the most discriminative features. This partial action approach ensures sufficient measurement precision by gathering excess data that can be filtered to reveal the most important personality indicators.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS9798815B1Assigning classes to users of an online community
Publication Date: 2017.10.24 GOOGLE LLC
  • US9798815B1 patent drawing
  • US9798815B1 patent drawing
  • US9798815B1 patent drawing

AI summary

This technology is directed to determining a character or personality characteristic for users of an online community, for example, a social network, and assigning a character or personality class to the users. In some instances, the systems and methods may determine the character or personality characteristic either implicitly from user data or actions, etc., or explicitly, by providing users with a personality survey or questionnaire to solicit responses. The system and methods assign a suitable character or personality class to the users based on the character and personality characteristic determined for the users, and generate at least one of a class description, a career profile, and a relationship profile for the users, and provide data including the class description, career profile, and the relationship profile capable of being displayed on a user interface.