Synergistic Bundle Construction in Game-Set Play-Item Systems
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Solution Overview
Problem
In games where players select play-items for their game-sets, the value of bundles obtained through rewards can be unpredictable due to the lack of synergy between the bundle items and existing game-set items, potentially decreasing the player's chances of winning.
Innovation Solution
Automated techniques for pre-constructing bundles based on synergy scores calculated from gameplay data, filtering candidate bundles for high synergy with the player's game-set, and using aggregation equations to determine bundle-wise synergy scores for optimal bundle selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If random play-items are added to a player's game-set via reward bundles, then the player may receive new play-items, but the synergy between bundle items and existing game-set items is unpredictable, potentially decreasing the player's chance of winning
Solution Approach 1:
The system pre-calculates synergy scores for all possible play-item pairs before distributing reward bundles. By analyzing gameplay data in advance and determining which play-items have high synergy scores with each other and with existing game-set items, the system ensures that rewarded bundles contain items that are likely to enhance rather than detract from the player's game-set effectiveness.
Solution Approach 2:
The system continuously monitors gameplay data to update and refine synergy scores between play-items. This feedback mechanism allows the system to learn from actual game outcomes and adjust bundle compositions accordingly, ensuring that rewarded bundles maintain high synergy with players' existing game-sets and improve their chances of winning.
2Adaptability or versatility
If automated techniques are used to pre-construct bundles based on synergy scores, then bundle quality and synergy are improved, but system complexity and computational requirements increase
Solution Approach 1:
The system divides the complex task of bundle construction into separate modular components: synergy score calculation, bundle candidate generation, filtering, and selection. Each component operates independently and can be optimized separately, making the overall system more manageable despite the complexity of the overall task.
Solution Approach 2:
The system automatically performs bundle pre-construction and optimization without requiring manual intervention. By using automated algorithms to analyze gameplay data, calculate synergy scores, and generate optimized bundles, the system serves itself in creating high-quality reward bundles while reducing the need for manual curation or complex configuration.
Data Source
AI summary
Techniques are described herein for automatically pre-constructing bundles of play-items based on the degree of synergy between the play-items. The degree of synergy between play-items is determined empirically, based on contents of player-constructed game-sets and outcomes of actual games using those game-sets. Automatically pre-constructing bundles involves generating pairwise synergy scores between every possible pair of play-items, and then (for bundles containing more than two items) using those pairwise synergy scores to determine bundle-wise synergy scores. Techniques are provided for identifying candidate bundle(s) of play-items to offer or award to a player. The candidate bundles are determined based on synergies between the play-items in each of the pre-constructed bundles and the play-items in the player's specific game-set.