Server Generating User-Customized Community List
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Solution Overview
Problem
Users face difficulties in finding and accessing communities related to their current content consumption on devices, as existing solutions require manual research and do not provide immediate, device-specific community recommendations based on usage history and content information.
Innovation Solution
A server generates a user-customized community list by analyzing usage history and content information, grouping devices with similar usage patterns, and providing communities that offer communication services for the current and similar content, including newly generated communities that persist even after content use ends.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually research and access communities on webpages, then they can communicate with other users regarding content, but it requires preliminary research and time-consuming access processes
Solution Approach 1:
The server performs preliminary actions by proactively generating and transmitting a customized community list to the user device before the user needs to access communities. The system analyzes usage history and content information in advance, identifies relevant communities, and makes them immediately available to the user, eliminating the need for manual research and time-consuming access processes
Solution Approach 2:
The system enables self-service by automatically generating community recommendations based on the user device's usage history and current content information. The server autonomously identifies relevant communities and transmits them to the user device without requiring user intervention for searching or selecting communities, allowing users to immediately access relevant communication channels
2Adaptability or versatility
If users access communities on webpages, then communication service is provided, but users need to go through the process of accessing the place of communication for each content consumed
Solution Approach 1:
The system applies local quality by providing customized community lists tailored to each user device's specific usage history and current content information. The server generates distinct community recommendations for each device based on its unique usage patterns and content consumption, ensuring that each user receives locally optimized community suggestions rather than generic recommendations
Solution Approach 2:
The server implements a universal system that handles multiple content types and usage scenarios through a single integrated approach. The system can process various usage histories, identify different types of communities (content-specific, interest-based, social), and provide unified community access across different devices and content types, eliminating the need for separate access processes for different contents
Data Source
AI summary
Provided is a method of generating a user-customized community list that includes obtaining, from a user device, a usage history of the user device, identifying a device group corresponding to the user device from a plurality of device groups, based on the usage history of the user device, obtaining a community list comprising at least one community corresponding to the device group, each community in the community list providing a communication service between members of the respective community, identifying a content information corresponding to a first content being used in the user device, generating the user-customized community list based on the content information and the community list, the user-customized community list comprising at least one first community corresponding to the first content, and at least one second community associated with the first content, and transmitting the user-customized community list to the user device.