Social Network Image Processing Server System
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Solution Overview
Problem
Social network services (SNS) lack integration of image processing technology, which could enhance user interest and community engagement by leveraging image data for grouping and friend recommendations.
Innovation Solution
A social network service system that includes a server capable of processing and storing image data, allowing users to select image processing types and automatically converting top images based on user preferences, thereby grouping members by image conversion types and promoting community engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image processing technology is integrated into SNS, then user interest and community engagement are enhanced, but system complexity increases
Solution Approach 1:
The patent merges image processing technology with SNS by integrating a picture conversion service into the social network system. The server automatically converts top images uploaded by members into various picture tones (oil painting, water color, pastel, etc.) and stores them in the work area, thereby combining image processing functionality with the existing SNS structure to enhance user interest and community engagement
2Productivity
If automatic image conversion is implemented, then community engagement is enhanced, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by automatically converting top images into multiple picture tones in advance and storing them in the work area. When members need to create content or when friends are recommended, the pre-converted images are immediately available for use, thereby enhancing community engagement while managing processing time through proactive image preparation
3Ease of operation
If grouping based on image conversion types is implemented, then friend recommendations improve, but data processing complexity increases
Solution Approach 1:
The system implements feedback mechanisms by analyzing which picture conversion types members prefer and using this information to automatically group members and generate friend recommendations. The server stores conversion type information and uses it to create groups and suggest friends, thereby improving ease of operation through automated, data-driven recommendations while managing data processing complexity through structured information storage and retrieval
Data Source
AI summary
A social network service system includes a server wherein a terminal of a member is connectable to the server. The server includes a memory configured to store a home screen includes top image data for each member, a selector configured to select a type of an image processing, and a processor configured to process, at a predetermined timing, the top image data of a member in accordance with the type of the image processing which is selected by the selector.