Registry Server Mediates Blockchain Complexity for Player Churn Prediction

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Solution Overview

Problem

Online gaming platforms face challenges in predicting player churn, as existing methods lack effective tools to analyze player behavior and retention metrics from permanent registries, leading to inefficiencies in retaining players.

Innovation Solution

A system and method that utilize permanent registries to monitor player-specific information, determine churn scores based on registry metrics, and take actions to mitigate player churn, incorporating features like blockchain for secure and transparent record-keeping of digital assets and player interactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If permanent registries are used to record player information and assets, then data security and transparency are improved, but system complexity increases

Engineering Contradiction:
Improvedata securityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces a registry server as an intermediary component that mediates between the gaming platform and the permanent registry (blockchain). This intermediary handles the complexity of blockchain interactions, including transaction broadcasting, confirmation monitoring, and state synchronization, thereby isolating the gaming platform from direct blockchain complexity while maintaining data security and integrity through the permanent registry

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If player-specific registry metrics are monitored and analyzed, then player churn prediction accuracy is improved, but information processing requirements increase

Engineering Contradiction:
Improvechurn prediction accuracyVSAvoidinformation processing requirements
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent extracts only the essential player-specific metrics from the permanent registry data (such as asset ownership changes, transaction frequency, and engagement patterns) that are most predictive of churn behavior. By selectively extracting and analyzing only these critical metrics rather than processing all registry data, the system achieves high prediction accuracy while minimizing information processing requirements and energy consumption

Inventive Principle:
Principle #2Taking out (Extraction)

3Productivity

If churn scores are calculated based on multiple registry metrics, then retention strategy effectiveness is improved, but computational complexity increases

Engineering Contradiction:
Improveretention strategy effectivenessVSAvoidcomputational complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent implements a churn scoring system that transforms multiple diverse registry metrics (transaction data, asset holdings, engagement patterns) into a unified churn score through standardized parameter transformations. This involves normalizing different metric types to common scales, applying weighted combinations based on predictive importance, and mapping results to standardized churn probability ranges, thereby enabling effective retention strategies while managing computational complexity through systematic parameter standardization

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11617960B1Systems and methods for using permanent registry information to predict player churn
Publication Date: 2023.04.04 MYTHICAL INC
  • US11617960B1 patent drawing
  • US11617960B1 patent drawing
  • US11617960B1 patent drawing

AI summary

Systems and methods to predict player churn for players of an online gaming platform, based on information recorded on permanent registries, are disclosed. Exemplary implementations may execute instances of a game; manage player accounts associated with the players, including a first player account associated with a first player; monitor player-specific recorded information on one or more permanent registries; determine player-specific registry metrics; determine a churn score based on the player-specific registry metrics; and/or take actions based on the churn score.