Player Rating via Opponent Retention Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional videogame player rating systems fail to accurately assess a player's contributions to the ecosystem and compatibility with others, making it difficult to identify compatible players.
Innovation Solution
A system that detects interaction events between active and qualifying players in multiplayer games, determines a retention value based on the qualifying player's return to the game, and weights this value by the number of interactions, time played, and other factors to rate the active player.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional rating systems based on individual game results or player votes are used, then the rating process is simple to implement, but the rating accuracy and ability to identify compatible players deteriorates
Solution Approach 1:
The system implements feedback loops by tracking whether players return to the game after interacting with other players. Retention values are calculated based on this feedback, creating a closed-loop system where player behavior directly influences ratings, which in turn affect future matching and retention opportunities.
Solution Approach 2:
The patent introduces retention values as an intermediary metric between direct player interactions and final compatibility ratings. Instead of directly rating players based on game outcomes, the system uses retention values as a mediating factor that captures the indirect effect of player interactions on ecosystem health.
2Adaptability or versatility
If player ratings are based on individual game results only, then the rating system is easy to calculate, but it fails to capture player contributions to the ecosystem
Solution Approach 1:
The retention value metric serves multiple functions simultaneously: it measures player satisfaction, indicates ecosystem contribution, guides compatibility matching, and informs player recommendation strategies. This multi-functional approach allows a single metric to address various assessment needs without requiring separate complex systems for each function.
Solution Approach 2:
The system transitions from evaluating players solely based on game performance dimensions to incorporating a temporal dimension by tracking player return behavior over time. This adds a new dimension of assessment that captures long-term player engagement and ecosystem contribution beyond individual game outcomes.
3Reliability
If traditional rating methods are used, then computational resources are conserved, but the ability to identify players conducive to retention deteriorates
Solution Approach 1:
The system extracts only the essential retention signal from complex player behavior data by focusing specifically on whether players return after interactions. This extraction approach isolates the key metric needed for retention identification while filtering out unnecessary computational overhead from analyzing all possible player behavior dimensions.
Data Source
AI summary
Systems, device and techniques are disclosed for rating a multiplayer videogame active player based on the retention of one or more qualifying players after their interaction with the active player. An interaction event between an active player and a qualifying player may be detected and a retention value based on the qualifying player returning to the multiplayer videogame may be determined. The active player may be rated based at least on the retention value of the qualifying player.