18526708. SYSTEMS AND METHODS FOR PROVIDING IMPROVED RECOMMENDATIONS simplified abstract (Capital One Services, LLC)

SYSTEMS AND METHODS FOR PROVIDING IMPROVED RECOMMENDATIONS

Organization Name

Capital One Services, LLC

Inventor(s)

Jacob Anderson of Plano TX (US)

Mithra Kosur Venuraju of Frisco TX (US)

Shilpa Mittal of Plano TX (US)

Ben Hoang of Garland TX (US)

Amit Deshpande of McKinney TX (US)

Jie Shen of Plano TX (US)

SYSTEMS AND METHODS FOR PROVIDING IMPROVED RECOMMENDATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18526708 titled 'SYSTEMS AND METHODS FOR PROVIDING IMPROVED RECOMMENDATIONS

The patent application describes systems and methods for providing improved recommendations, particularly in the context of vehicle recommendations. The system involves a server system that processes user historical vehicle preferences and current vehicle preferences to generate weighted feature data sets. These data sets are then analyzed using a similarity model to determine a vehicle recommendation data set, which is presented visually to the user through an interface.

• The system utilizes user historical and current vehicle preferences to generate weighted feature data sets.
• A similarity model is applied to the generated data sets to determine a vehicle recommendation data set.
• The vehicle recommendation data set is presented visually to the user through an interface.

1. 1. 1. Potential Applications:

- Online vehicle shopping platforms - Personalized vehicle recommendation services

1. 1. 1. Problems Solved:

- Providing tailored vehicle recommendations based on user preferences - Enhancing user experience in vehicle selection processes

1. 1. 1. Benefits:

- Improved user satisfaction - Efficient decision-making in vehicle selection - Personalized recommendations enhance user engagement

1. 1. 1. Commercial Applications:

"Enhancing User Experience in Vehicle Selection with Personalized Recommendations"

1. 1. 1. Prior Art:

No specific prior art information provided.

1. 1. 1. Frequently Updated Research:

No information on frequently updated research related to this technology.

1. 1. 1. 1. Questions about Vehicle Recommendation System:

1. How does the system determine the weighted feature data sets? 2. What are the key factors considered in the similarity model for vehicle recommendations?

Original Abstract Submitted

Systems and methods for providing improved recommendations are disclosed. In some embodiments, the systems and methods may be used for vehicle recommendations. The system may include a server system configured to receive user historical vehicle preferences, user vehicle preferences, generate weighted feature data sets, and apply a similarity model to the generated weighted feature data set in order to determine a vehicle recommendation data set. A visual representation of the vehicle recommendation data set may then be provided to an interface associated with a user.