17808127. OPTIMIZED EXCHANGE RATES BASED ON USER PROFILES simplified abstract (Capital One Services, LLC)
OPTIMIZED EXCHANGE RATES BASED ON USER PROFILES
Organization Name
Inventor(s)
Michael Mossoba of Great Falls VA (US)
Myka Cooper of Woodbridge VA (US)
Trinity D. Moon of Bowie MD (US)
OPTIMIZED EXCHANGE RATES BASED ON USER PROFILES - A simplified explanation of the abstract
This abstract first appeared for US patent application 17808127 titled 'OPTIMIZED EXCHANGE RATES BASED ON USER PROFILES
Simplified Explanation
The patent application describes a device that obtains a user profile associated with a user, including their gaming profile, use history, and exchange history. The device uses a machine learning model to determine a propensity score based on the user's memory usage indicated by their gaming profile. Based on this score, the device determines an exchange rate for converting program points to virtual points in a game. When the user initiates an exchange, the device communicates with another device to make the virtual points available in a second account.
- Device obtains user profile with gaming profile, use history, and exchange history
- Machine learning model determines propensity score based on user's memory usage
- Propensity score used to determine exchange rate for converting program points to virtual points
- Device communicates with another device to make virtual points available in a second account
Potential Applications
- Gaming platforms and consoles
- Virtual currency systems
- Online marketplaces
Problems Solved
- Efficient conversion of program points to virtual points
- Personalized exchange rates based on user behavior
- Seamless transfer of virtual points to another account
Benefits
- Improved user experience in gaming and virtual currency systems
- Increased user engagement and loyalty
- Customized exchange rates based on user preferences
- Simplified process for transferring virtual points to another account
Original Abstract Submitted
In some implementations, a device may obtain a first user profile associated with a first user that indicates: a first user gaming profile; a first use history, associated with program points, of the first user; and/or a first exchange history associated with the first user. The device may determine, using a machine learning model, a propensity score associated with the first user based on the first user profile that is based on a memory usage, associated with a gaming console, indicated by the first user gaming profile. The device may determine, based on the propensity score, a first exchange rate for converting the program points to the virtual points of the first game. The device may receive an indication of an exchange initiated by the first user. The device may communicate, with a device, to cause the one or more virtual points to be made available to a second account.
