Future Location Matching to Reduce Irrelevant Search Results
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Solution Overview
Problem
Existing matching services struggle to effectively link individuals with similar character traits and values, often providing irrelevant search results and relying solely on textual submissions, which can deter users due to the time-consuming nature of sifting through non-relevant matches.
Innovation Solution
A system and method that utilizes location information, including historical, current, and future location data, to determine compatible users by analyzing shared location areas and preferences, presenting relevant matches based on geographic proximity and shared interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If matching services use textual submissions (profiles or messages) to determine matches, then they can assess character traits and values, but the search results contain many irrelevant entities which costs user time and deters continuation
Solution Approach 1:
The matching process is segmented into multiple dimensions: textual profile analysis and location-based matching. By dividing the matching criteria into separate components, the system can filter candidates more efficiently using location data while maintaining comprehensive assessment through textual submissions, thereby reducing irrelevant results and user time investment
Solution Approach 2:
The patent introduces location information as an additional dimension beyond traditional textual profiles. This spatial dimension enables the system to filter and rank matches based on geographic proximity and location compatibility, significantly reducing the number of irrelevant entities presented to users while preserving character trait assessment
2Adaptability or versatility
If matching services rely solely on textual submissions, then they can evaluate character traits, but they fail to incorporate other criteria that users actually use to evaluate potential matches
Solution Approach 1:
The patent merges traditional textual profile matching with location-based matching into a unified system. By combining these two approaches, the service incorporates both character trait evaluation and spatial compatibility, reflecting the diverse criteria users actually employ when evaluating potential matches
Solution Approach 2:
Location information adds a new dimension to the matching criteria beyond textual submissions. This enables the system to capture geographic proximity, location preferences, and spatial compatibility—factors that users naturally consider but were previously overlooked by text-only approaches
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.