Vehicle Renter Preference Prediction for Mobile Sharing Platforms
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Solution Overview
Problem
Conventional vehicle-sharing platforms lack mechanisms for generating and enforcing personalized preferences of vehicle owners, and designing user interfaces for mobile devices with small screens is complex due to the need for multiple layers, affecting usability and efficiency.
Innovation Solution
A computer-implemented method that generates personalized prompts for vehicle owners to identify renter preferences, using historical data and machine learning to predict criteria for eligible renters, and displays vehicles only to those who meet these criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional vehicle-sharing platforms use standardized trust mechanisms for all users, then platform-wide trust is established, but personalized preference enforcement is impossible
Solution Approach 1:
The patent segments the standardized trust mechanism into two layers: a platform-wide standardized trust layer (identity verification, background checks) and a personalized preference layer (owner-specific criteria). This segmentation allows both platform-wide reliability and personalized adaptability to coexist by operating at different levels of the system hierarchy.
Solution Approach 2:
The system dynamically adjusts the application of trust mechanisms based on user roles and contexts. Standardized verification applies universally to all users, while personalized preferences are dynamically applied only when matching renters to specific vehicles, allowing the system to adapt its trust enforcement strategy to each interaction context.
2Measurement precision
If vehicle owners can set detailed personalized preferences, then renter selection accuracy improves, but interface complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-configuring preference templates and categories that owners can select from. Instead of requiring owners to build complex criteria from scratch, the system provides pre-prepared preference structures (e.g., common renter attributes like age, driving history, rental duration) that can be activated with simple selections, thereby maintaining precision while reducing interface complexity.
Solution Approach 2:
The patent introduces an intermediary layer (the preference management system) that translates simple owner selections into complex renter filtering criteria. This intermediary handles the complexity of preference interpretation and application, allowing owners to set preferences through simple UI interactions while the system manages the sophisticated matching logic in the background.
3Ease of operation
If mobile interfaces display all preference-setting functionality, then user control is maximized, but usability on small screens deteriorates
Solution Approach 1:
The mobile interface is segmented into hierarchical views: a main summary view showing key preference settings and a detailed configuration view accessible on demand. This segmentation allows the interface to present essential control functions on the limited mobile screen while providing comprehensive functionality through structured navigation, maintaining both usability and user control.
Solution Approach 2:
The interface dynamically adapts its information density based on the user's interaction state. The summary view presents condensed information for quick overview, while the detailed view expands functionality when users need to modify preferences. This dynamic presentation allows the same interface to serve both mobile usability constraints and comprehensive control requirements.
Data Source
AI summary
Embodiments described herein generate a first set of prompts, the first set of prompts configured to prompt a vehicle owner for a first set of answers used to learn preferred vehicle renter characteristics; receive the first set of answers; generate, based upon the first set of answers, a second set of prompts, the second set of prompts configured to prompt the owner for a second set of answers used to learn additional preferred vehicle renter characteristics; receive the second set of answers; predict user preference value(s) of a profile of the owner based upon the second set of answers, wherein the user preference value(s) define criteria for sharing a vehicle associated with the profile with vehicle renters who satisfy the criteria; apply the criteria to potential vehicle renters; and cause an indication of the vehicle to be displayed only to the potential vehicle renters who satisfy the criteria.