Bonus Game Personalization Using Player History and Preference Modeling
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Solution Overview
Problem
Existing gaming systems fail to accurately determine a player's preference for a secondary game, leading to incorrect determinations of primary game preferences and inefficient data processing, which can confuse or dissatisfy players.
Innovation Solution
Implement a system that uses machine learning to correlate gameplay behavior with historical data to identify a player's secondary game preferences, enabling a weighted random selection of preferred secondary games and dynamically configuring game attributes based on these preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system presents multiple secondary games to players, then player preference accuracy improves, but data processing complexity increases
Solution Approach 1:
The patent segments the secondary game selection process into distinct components: (1) presenting multiple secondary games to the player, (2) collecting player selections and gameplay data, (3) analyzing preferences through machine learning models, and (4) determining primary game preferences based on secondary game preferences. This segmentation allows the system to process player preferences systematically without overwhelming data processing complexity.
Solution Approach 2:
The patent implements preliminary action by presenting multiple secondary games to players before determining their primary game preferences. The system collects and analyzes player preferences for secondary games in advance, using this preliminary data to accurately determine primary game preferences. This preliminary preference collection reduces the need for complex real-time processing during primary game selection.
2Ease of operation
If the system determines primary game preference based on secondary game preference, then player satisfaction improves, but system complexity increases
Solution Approach 1:
The patent uses secondary game preferences as an intermediary to determine primary game preferences. Instead of directly asking players about their primary game preferences or using complex analysis methods, the system uses secondary game selection behavior as a mediator that reveals underlying preferences. This intermediary approach simplifies the determination process while improving accuracy and player satisfaction.
Solution Approach 2:
The patent implements feedback loops where player selections of secondary games are continuously monitored and fed back into the preference determination system. The machine learning models analyze this feedback data to refine understanding of player preferences, which then informs primary game recommendations. This feedback mechanism improves player satisfaction through increasingly accurate personalization without requiring manual system reconfiguration.
3Measurement precision
If the system processes all gameplay data, then preference determination accuracy improves, but processing efficiency decreases
Solution Approach 1:
The patent extracts only the most relevant features from gameplay data for preference determination. Instead of processing all raw gameplay data, the system identifies and extracts key features such as secondary game selection patterns, play duration, and engagement metrics. This extraction process maintains preference determination accuracy while significantly improving processing efficiency by reducing data volume.
Solution Approach 2:
The patent applies local quality by processing different types of gameplay data with different levels of detail. High-level summary statistics are processed for overall preference trends, while detailed gameplay data is processed only when necessary for specific preference determinations. This localized processing approach optimizes the balance between accuracy and efficiency by applying appropriate processing intensity to different data elements.
Data Source
AI summary
The present disclosure relates generally to a gaming system, device, and method supportive of configuring a gaming device to present a preferred bonus game when a bonus game has been triggered during a primary game. An illustrative method includes determining a bonus game preference for a representative player and modifying the bonus game in accordance with deviations of the player from the representative player. A representation of the electronic game is presented on a display device, where the representation of the electronic game includes displaying a plurality of game features, executing the electronic game, determining, during execution of the electronic game, that a bonus game has been triggered and presenting the modified bonus game to the player.