US Patent Application 17977491. Vehicle Recommendation Method and Server for Providing Vehicle Recommendation Service simplified abstract
Vehicle Recommendation Method and Server for Providing Vehicle Recommendation Service
Organization Name
Inventor(s)
Dong-Su Ha of Hwaseong-si (KR)
Vehicle Recommendation Method and Server for Providing Vehicle Recommendation Service - A simplified explanation of the abstract
This abstract first appeared for US patent application 17977491 titled 'Vehicle Recommendation Method and Server for Providing Vehicle Recommendation Service
Simplified Explanation
This patent application describes a method for determining user propensities and calculating vehicle propensities to help users find an optimal vehicle within their budget range.
- The method involves providing a question and a user propensity test to gather information from the user.
- Based on the user's responses, a user propensity is determined, which represents the user's preferences and characteristics.
- Vehicle propensities are calculated by extracting platform and fuel type information from vehicle data.
- Platform scores and energy source scores are summed to determine the weight on different vehicle propensity elements.
- Target vehicles within the user's budget range are identified.
- The optimal vehicle is determined by comparing the user propensity with the matching degrees of the target vehicles.
Original Abstract Submitted
An embodiment method includes providing a question for a user and a user propensity test, receiving responses to the question for the user and the user propensity test and determining a user propensity based on the responses, and calculating vehicle propensities for indicating vehicle characteristics on vehicles. Calculating the vehicle propensities includes extracting a platform applying time of each of the vehicles and a used fuel type from vehicle data and determining a weight on one of a plurality of vehicle propensity elements by summing platform scores according to the platform applying time and energy source scores according to the used fuel type. The method further includes determining target vehicles belonging to a budget range from among the vehicles and determining an optimal vehicle from among the target vehicles based on matching degrees of the user propensity and the respective target vehicles.
