Personalized Game Ranking via Player History Analysis
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Solution Overview
Problem
Players in multigame environments, such as casinos and internet gaming sites, face difficulty in finding preferred games due to the large number of options available, which increases as technology advances and game libraries expand.
Innovation Solution
A gaming system that connects gaming machines to a server via a communications system, utilizing a recommendation engine to rank and display games based on a player's past history and the history of other players, allowing for personalized game recommendations and categorization by popularity, win frequency, and other criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multi-game machines provide more games on a single machine, then the variety of games available to players increases, but the difficulty for players to identify preferred games increases
Solution Approach 1:
The game library is segmented into multiple categories (e.g., slots, table games, video games, progressive jackpots) that are displayed in an organized manner. Players can navigate through categorized game lists rather than facing an overwhelming unstructured array of games, making it easier to identify and select preferred games while maintaining access to a diverse game library.
Solution Approach 2:
The system incorporates player tracking and feedback mechanisms that monitor player game selection patterns and preferences. This feedback is used to dynamically adjust game recommendations and rankings, presenting games that are more likely to match player preferences. The system learns from player behavior and continuously improves game selection relevance, reducing the effort required to find preferred games.
2Ease of operation
If gaming systems track player history and provide personalized recommendations, then game selection ease improves, but system complexity increases
Solution Approach 1:
The gaming system integrates multiple functions into a unified platform: game execution, player tracking, historical data storage, preference analysis, and personalized recommendation generation all operate within the same system architecture. This multi-functionality allows the system to provide sophisticated personalized recommendations without requiring separate dedicated systems, thereby managing complexity while enhancing ease of game selection.
Solution Approach 2:
The system automatically tracks player history, analyzes preferences, and generates personalized game recommendations without requiring manual player input or configuration. The player tracking mechanism operates autonomously, continuously learning from player behavior and adjusting recommendations accordingly. This self-service approach simplifies the user experience while the backend complexity is handled automatically by the system.
Data Source
AI summary
A gaming system (100) comprises a gaming server (system controller) (54), a plurality of gaming machines (10), and a communications system (63) connecting each of the plurality of gaming machines (10) to the gaming server (53). The gaming machines (10) each have a display (14), player controls (22), a player tracking device, such as a card reader (24.3) for reading player tracking cards (27), and a game processor (34) which displays sequential game images of a game being played on the respective display (14). Each game processor (34) plays a game initiated by the player, where the game is one of a plurality of games available on the gaming machine (10) and selectable by the player. Each gaming machine (10) includes game selection means (16) which displays a selection of games (211-216&311-316) available on the machine for the player to play. The games (211-216&311-316) offered for selection are ordered according to a ranking determined as a function of the player's past history of playing games and a history of games played by other players.