Server Target User Selection Using Social Relationship Chains
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Solution Overview
Problem
Current network servers face challenges in accurately classifying users based on location, leading to ineffective information delivery that does not meet user needs, resulting in a poor user experience.
Innovation Solution
A target object selection method that selects candidate users within a target area using location-based services and social relationship chains to identify and send information to relevant users, ensuring accurate user classification and information delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If users are classified based on location information only, then the classification process is simple, but the classification accuracy is low
Solution Approach 1:
The patent combines multiple classification dimensions (location information, social relationship chains, and user behavior data) into a unified user classification system. By merging these different data sources, the system achieves more accurate user classification while maintaining reasonable process complexity through integrated processing.
Solution Approach 2:
The patent introduces social relationship chains as an additional dimension to the traditional location-based classification. This transforms the classification from a single-dimensional (location only) approach to a multi-dimensional approach, significantly improving classification accuracy by considering both spatial and social factors.
2Quantity of substance
If information is delivered to all users in a target area, then the coverage is comprehensive, but the information relevance to individual users is low
Solution Approach 1:
The patent applies local quality by customizing information delivery for different user segments within the target area. Instead of uniform information delivery, the system analyzes social relationship chains and user characteristics to provide locally optimized information that is specifically relevant to each user group, thereby improving information relevance while maintaining comprehensive coverage.
Solution Approach 2:
The patent segments the user base in the target area into different groups based on social relationship chains and classification results. This segmentation enables targeted information delivery to specific user groups rather than broadcasting to all users uniformly, improving the relevance of information while maintaining broad coverage through multi-group targeted delivery.
Data Source
AI summary
A target object selection method, a server, and a computer storage medium are disclosed. The method includes selecting a first one candidate user meeting a first condition in a target area, the first condition characterizing a user who has appeared in the target area; extracting a first social relationship chain of the at least one candidate user in the target area, the social relationship chain comprising a first related user who has a social relationship with the candidate user; and selecting a first one target user in the target area based on the first social relationship chain and sending information to the first target user.