Intelligent Wagering Game Content Distribution Engine
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Solution Overview
Problem
Players face difficulty in selecting games that match their personal preferences and environmental context due to the vast variety of game content available, requiring a system to analyze preferences and device usage to provide suitable game options.
Innovation Solution
A content distribution engine analyzes player preferences, device usage, and environmental context to select and transmit game content tailored to individual preferences, device capabilities, and situational needs, enabling unified game experiences across registered devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a vast variety of game content is provided to players, then player satisfaction and operator profitability are improved, but players face difficulty in selecting games that match their personal preferences and environmental context
Solution Approach 1:
The system automatically analyzes player preferences, device usage patterns, and environmental context to select and distribute appropriate game content without requiring players to manually search through extensive catalogs. The content distribution engine performs self-service by autonomously matching players with suitable games based on collected data from players, devices, and environments.
Solution Approach 2:
The system implements feedback loops by collecting player behavior data, device usage information, and environmental context, then using this feedback to continuously refine game content recommendations. This creates a closed-loop system where player interactions and contextual data inform future content distribution decisions, improving selection accuracy over time.
2Ease of operation
If game content is tailored to individual preferences and environmental context, then user experience and player satisfaction are enhanced, but system complexity increases due to the need to analyze multiple data sources
Solution Approach 1:
The content distribution engine serves multiple functions within a single system: collecting player preference data, analyzing device usage patterns, gathering environmental context information, selecting appropriate game content, and distributing it to players. This multi-functional approach consolidates what would otherwise require separate systems into one unified platform.
Solution Approach 2:
The content distribution engine acts as an intermediary layer between the vast game content library and players. It mediates by processing multiple data sources (player preferences, device information, environmental context) and translating them into appropriate content selections, thereby managing system complexity through a centralized coordination point.
3Adaptability or versatility
If game content is selected based on real-time environmental context and device usage, then contextual relevance is improved, but data processing requirements and system resources increase
Solution Approach 1:
The system performs preliminary actions by collecting and pre-processing player preference data, device usage patterns, and environmental context information before actual game content selection is needed. This advance preparation reduces the computational burden during real-time content delivery, as much of the analysis is completed beforehand.
Solution Approach 2:
The content distribution engine applies local quality by tailoring game content selections to specific local conditions of each player's environment, device, and preferences rather than applying uniform processing to all players. This targeted approach optimizes resource usage by focusing computational efforts on individualized content matching rather than blanket processing.
Data Source
AI summary
A method for selecting content for delivery to devices is described herein. In some embodiments, the method can include registering a plurality of devices of one or more device types. The method can further include receiving usage information indicating usage of the devices and affinity information indicating user affinities associated with the devices. The method can further include detecting that a device of the plurality of devices is in-use. The method can further include determining, based on the usage information and the affinity information, game content for the device currently used. The method can further include transmitting, to the device, the game content.