IGT (20240212438). ADAPTIVE GAME SET RECOMMENDER simplified abstract
Contents
ADAPTIVE GAME SET RECOMMENDER
Organization Name
Inventor(s)
Bradley Boudreau of Moncton (CA)
Robert Walker of Wakefield RI (US)
Stacey Armsworthy of Lutes Mountain (CA)
Stephen Capstick of Toronto (CA)
ADAPTIVE GAME SET RECOMMENDER - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240212438 titled 'ADAPTIVE GAME SET RECOMMENDER
The patent application describes a game recommender device that assists an operator in managing multiple gaming devices and selecting games for players based on various external factors.
- The device includes a processor circuit and memory with machine-readable instructions for evaluating login credentials and recommending games.
- A graphical user interface is provided to the operator for managing a subset of games available on multiple gaming devices.
- The device receives indications of specific games, analyzes external factors and game identities, and suggests recommended games based on this data.
Potential Applications: - Gaming industry for personalized game recommendations - Entertainment platforms for enhancing user experience - Educational platforms for recommending educational games based on individual preferences
Problems Solved: - Streamlining the game selection process for operators - Providing personalized game recommendations for players - Enhancing user engagement and satisfaction in gaming experiences
Benefits: - Improved user experience through personalized game recommendations - Efficient management of multiple gaming devices - Increased player engagement and satisfaction
Commercial Applications: Title: "Personalized Game Recommender Device for Enhanced User Experience" This technology can be utilized in gaming arcades, online gaming platforms, and educational institutions to provide tailored game recommendations to users, enhancing their overall experience and engagement.
Prior Art: Further research can be conducted in the field of personalized recommendation systems in the gaming industry to explore existing technologies and innovations related to game recommendation devices.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for personalized recommendations in the gaming industry to enhance the efficiency and accuracy of game recommender devices.
Questions about Game Recommender Device: 1. How does the device analyze external factors to recommend games? The device determines data corresponding to multiple external factors and game identities to suggest recommended games based on individual preferences and situational contexts.
2. What are the key features of the graphical user interface provided to the operator? The graphical user interface allows the operator to manage multiple gaming devices, select games for players, and receive personalized game recommendations based on specific game choices and external factors.
Original Abstract Submitted
a game recommender device includes a processor circuit and a memory comprising machine-readable instructions that, when executed by the processor circuit, cause the processor circuit to receive a login request from an operator processor circuit. the login request includes login credentials. operations include evaluating the login credentials. a graphical user interface (gui) is provided to the operator processor circuit configured to manage multiple gaming devices that provide a player with a subset of games of multiple games. managing the games includes selecting the subset of games. operations include receiving, from the operator processor circuit, an indication of a first game of the subset of games, determining data corresponding to multiple external factors and an identity of the first game, and transmitting, to the operator processor circuit, recommended games for use with the first game based on the first game and the data corresponding to the plurality of external factors.
