Location-Based Match Ranking Using Shared Presence and Timing
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Solution Overview
Problem
Existing matching services struggle with irrelevant search results and fail to incorporate non-textual criteria in user evaluations, making it challenging to match individuals with similar character traits and values.
Innovation Solution
A system and method that utilizes location information to determine matches by comparing the historical and current locations of users, analyzing shared preferences and characteristics, and presenting relevant matches based on proximity and timing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If matching services use textual submissions (profiles or messages) to determine matches, then the matching process can be automated, but the matching relevance decreases because non-textual criteria that users actually use for evaluation are not incorporated
Solution Approach 1:
The patent introduces location information as an additional dimension beyond textual profiles. By incorporating spatial and temporal data about where and when users have been, the system adds a new dimension to the matching process that reflects real-world behavior patterns, thereby improving matching relevance while maintaining automation.
2Adaptability or versatility
If matching services include many search results to provide comprehensive options, then user selection freedom increases, but the user experience deteriorates due to time consumption and irrelevance of many results
Solution Approach 1:
The patent changes the parameters used for filtering and ranking match results by incorporating location-based criteria. Instead of relying solely on textual profile matching, the system uses location history, current location, and proximity data to prioritize relevant results, reducing the time users need to spend reviewing irrelevant matches while maintaining comprehensive search capabilities.
3Device complexity
If matching services use only textual criteria for matching, then the system complexity remains low, but the matching precision decreases because users evaluate potential matches using multiple criteria including location and timing
Solution Approach 1:
The patent makes the matching system multi-functional by integrating both textual analysis and location-based evaluation. The system processes multiple types of data (profiles, messages, location history, current position, timing information) through a unified matching algorithm, thereby improving matching precision without requiring separate specialized systems for each criterion.
Data Source
AI summary
In one embodiment, a method executed by at least one processor includes receiving first historical location information identifying a first location area at which a first user was present at a first time and receiving second location information identifying a second location area at which a second user was present at a second time. The method includes determining that the first historical location information and the second location information each correspond to a particular location area and determining that a characteristic related to the first user corresponds to a preference related to the second user. In response to these determinations, the method includes causing information related to the first user to be presented to the second user. The information related to the first user includes the first location area of the first user relative to the second location area of the second user.