Location-Based Player Matching for Relevant Multiplayer Interaction
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Solution Overview
Problem
Existing online games with multi-player interaction suffer from random team formation leading to lack of relevance among players, resulting in awkward interactions and monotonous game experiences due to indistinguishable content and lack of personalized services.
Innovation Solution
A method and apparatus for data processing that groups players based on location information, forming teams with geographic relevance to enhance interaction and provide personalized game experiences by matching players with similar locations and cultural backgrounds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If players are matched randomly for teams, then team formation is simple and quick, but player interaction quality deteriorates due to lack of relevance among players
Solution Approach 1:
The patent applies local quality by matching players based on their specific location attributes rather than random assignment. Players in the same geographic region are grouped together, creating localized teams with shared contextual characteristics. This ensures that each team has homogeneous location-based qualities, improving interaction relevance while maintaining efficient matching through automated geographic segmentation.
2Device complexity
If team formation is simple and random, then device complexity is low, but player experience becomes monotonous due to lack of personalized services
Solution Approach 1:
The patent changes the matching parameter from random assignment to location-based attribution. By using geographic coordinates and region identifiers as the matching criterion, the system automatically personalizes team formation without requiring complex algorithms. The location parameter serves as both the segmentation key and the personalization basis, enabling differentiated player experiences through geographic context.
3Quantity of substance
If players from different locations are grouped together, then team diversity increases, but interaction resonance decreases due to lack of common cultural background
Solution Approach 1:
The patent applies homogeneity by grouping players with similar location attributes together. Players within the same geographic region share common cultural, linguistic, and contextual characteristics, creating homogeneous teams that facilitate better communication and interaction. This location-based homogeneity ensures that team members have shared reference frames, reducing information loss and improving interaction quality.
Data Source
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AI summary
A location information-based data processing method and apparatus, a device and a storage medium. The location information-based data processing method comprises: acquiring first location information from a first account (S101); determining a geo-tag to which the first location information belongs, and associating the first account with a first-level group corresponding to the geo-tag (S102); receiving an interaction request of the first account (S103); in response to the interaction request, matching, among the first-level group associated with the first account, at least one second account interacting with the first account (S104); and determining that the first account and the at least one second account belong to the same interaction group (S105).