Gameplay Style Classification for Personalized Game Recommendations

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Solution Overview

Problem

Consumers face challenges in identifying gameplay patterns and making personalized predictions for new game titles due to insufficient information from developers, publishers, and digital platforms, leading to potential waste of time and resources.

Innovation Solution

A system that tracks and analyzes user gameplay data to identify patterns, categorizes gameplay styles, and generates personalized recommendations for similar games based on visual displays and comparisons.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If developers and publishers provide detailed game information, then users can make better purchasing decisions, but the complexity of information presentation increases

Engineering Contradiction:

Improvegameplay information completenessVSAvoidinformation presentation complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent replaces manual information analysis and traditional review systems with an automated machine learning system that analyzes gameplay data, user behavior patterns, and game characteristics to generate personalized recommendations, thereby reducing information presentation complexity while maintaining completeness

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system creates simplified copies or representations of complex gameplay information through visual displays that show game style categories and compatibility metrics, making detailed gameplay information accessible without presenting all raw data

Inventive Principle:

Principle #26Copying

2Reliability

If users perform extensive research on new games, then they can avoid undesirable experiences, but the time and energy investment increases

Engineering Contradiction:

Improvepurchasing decision accuracyVSAvoidresearch time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of game compatibility with user preferences before purchase by pre-processing gameplay data, establishing user profiles, and pre-calculating compatibility metrics, so that users receive ready-made recommendations without needing to conduct extensive research themselves

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system enables users to obtain personalized game recommendations through automated analysis of their own gameplay data and preferences, eliminating the need for manual research across multiple sources while maintaining high decision accuracy

Inventive Principle:

Principle #25Self-service

3Device complexity

If digital platforms provide only basic game descriptions, then the platform complexity remains low, but users cannot make informed purchasing decisions

Engineering Contradiction:

Improveplatform structure simplicityVSAvoidpersonalized game information

Core Design Contradiction:

Device complexityVSLoss of information

Solution Approach 1:

The patent implements local quality by providing customized information displays tailored to each user's gameplay profile, where the information presentation adapts to individual user characteristics and preferences, delivering personalized recommendations without requiring complete platform restructuring

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20250381485A1Classification of gaming styles

Publication Date: 2025.12.18 SONY INTERACTIVE ENTERTAINMENT LLC

AI summary

A system of classifying game styles may track a play of a user of one or more media content. The tracked play of the user of one or more media content may be analyzed to characterize the play of the user based on one or more categories of user gameplay style. A plurality of categories of user gameplay style may be selected to be displayed as a visual display of the user gameplay style. The visual display of the user gameplay style may be compared to one or more visual displays of characteristics of other media content. A recommendation for other media content that share similar characteristics to the user gameplay style may be generated.