Future-Location Matching for Shared Places and Preferences
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Solution Overview
Problem
Existing matching services struggle with irrelevant search results and fail to incorporate non-textual criteria in user preferences, making it challenging to link individuals with similar character traits and values.
Innovation Solution
A system and method that utilizes location information to match users by analyzing historical and current location data, determining shared location areas and preferences, and presenting relevant matches based on proximity and shared interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If matching services use only textual submissions (profiles or messages) to determine matches, then the matching process is simple to implement, but the matching accuracy is insufficient because it fails to incorporate non-textual criteria that users actually use to evaluate potential matches
Solution Approach 1:
The patent introduces a new dimension of location-based matching criteria beyond traditional textual profiles. By incorporating geographic location data and analyzing spatial relationships between users, the system adds a dimensional layer to the matching process that reflects real-world proximity and contextual relevance, thereby improving matching accuracy without fundamentally redesigning the entire system architecture
Solution Approach 2:
The patent uses location information as an intermediary element to bridge the gap between user profiles and matching algorithms. Rather than directly comparing textual attributes, the system introduces location data as a mediating factor that provides contextual information about users' environments, routines, and proximity, enabling more accurate matching while keeping the core matching mechanism relatively simple
2Productivity
If matching services include comprehensive search results, then more potential matches are available, but the results contain many irrelevant entities that waste user time and deter continued use
Solution Approach 1:
The patent applies local quality by using location data to identify and prioritize matches that are geographically relevant to each user. Rather than treating all potential matches equally, the system locally optimizes the matching results based on spatial proximity and location-based preferences, ensuring that users see the most relevant matches first while maintaining access to broader search results if needed
Solution Approach 2:
The patent performs preliminary filtering of search results based on location criteria before presenting matches to users. By pre-processing the matching data to identify and rank location-relevant candidates, the system reduces the cognitive load on users and eliminates obviously irrelevant matches from the initial view, thereby improving matching efficiency without losing access to comprehensive data
Data Source
AI summary
In one embodiment, a system includes an interface and a communicatively coupled processor. The interface is configured to receive first future location information of a first user and receive second future location information of a second user. The processor is configured to determine that the first and second future location information each correspond to a future location and determine that a characteristic related to the first user corresponds to a preference related to the second user. In response to these determinations, the processor is configured to cause information to be presented to the second user, the information to be presented to the second user comprising the future location and that the first user and the second user have the future location in common.