Event Interest Grouping Server for Social Interaction
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Solution Overview
Problem
Existing social networking services and community platforms do not effectively promote social interactions among users attending specific events, such as music or sporting events, and fail to increase event activity by not specializing in event-based communication.
Innovation Solution
A server and client system that allows users to input their event interests and profiles, automatically creates groups of similar users, and facilitates communication before and after the event, enabling users to connect and invite each other to future events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If general social networking services are used, then users can connect broadly, but social interactions specific to events are not promoted
Solution Approach 1:
The patent segments the general social networking function into event-specific groups. Users are automatically grouped based on their interest in specific events, creating dedicated communication channels for each event rather than using a single general network. This segmentation enables event-specific interactions while maintaining the broader SNS framework.
Solution Approach 2:
The server acts as an intermediary that automatically creates and manages event-specific groups. It receives user profiles and interest signals, processes this information to identify users with similar event interests, and automatically forms groups without requiring manual user input. This intermediary function enables specialized event interactions while keeping the user interface simple.
2Ease of operation
If automatic group creation is implemented, then user connection is facilitated, but user control over grouping is reduced
Solution Approach 1:
The system implements self-service by automatically creating groups based on user profiles and interest signals without requiring manual group formation. Users simply express their interest in events, and the system autonomously processes this information to form appropriate groups. This maintains user agency while significantly simplifying the group formation process.
Solution Approach 2:
The system uses feedback loops where user profiles and interest signals are continuously processed to refine group assignments. The server receives interest signals, creates groups, and can adjust groupings based on additional user input or system analysis. This feedback mechanism ensures automated grouping aligns with user preferences while maintaining ease of operation.
3Measurement precision
If user profiles are accumulated and processed, then similar interest matching is improved, but data processing complexity increases
Solution Approach 1:
The system applies partial action by focusing data processing only on relevant profile attributes related to event interests rather than analyzing all possible user data. It selectively processes information such as event attendance history, expressed interests, and demographic data that are most relevant for matching, thereby achieving precise similarity matching without excessive data processing complexity.
Solution Approach 2:
The server changes parameters by transforming raw user profile data into standardized interest signals and similarity metrics. It processes profiles by extracting key features, comparing them against established criteria, and generating match scores. This parameter transformation enables precise matching while managing processing complexity through structured data representation.
Data Source
AI summary
A server, a client, a control method, and a non-transitory computer-readable medium that can promote social interactions of users attending a specific event. The server includes a communication unit configured to receive a profile of a user or an interest signal indicating interest in a specific event along with identification information of the user from a client; an accumulation unit configured to accumulate the profile of the user in association with the identification information of the user; and a control unit configured to control the identification information to be stored in the accumulation unit in association with the specific event according to the interest signal, to search for a user having a profile similar to the received profile based on the identification information and create a group users of similar interests, and transmit information of the created group to the client before an opening of the specific event.