Comment Filter Engine for Real-Time Multimedia Broadcasts
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Solution Overview
Problem
Existing interactive commentary systems for multimedia content lack effective filtering mechanisms that allow users to control the display of comments based on attributes of writers and comments, leading to information overload and irrelevant discussions.
Innovation Solution
A system that enables users to configure filters for comments in real-time or offline viewing, allowing readers to select comment types, writer attributes, and other properties, using a comment filter engine that can operate centrally or distributedly, and integrates with multimedia content streaming systems to manage and display filtered comments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all comments are displayed to users in real-time multimedia broadcast sessions, then the quantity of interactive commentary is maximized, but information overload and irrelevance increase
Solution Approach 1:
The system extracts and removes irrelevant comments from the comment stream based on user-defined filter criteria. Filters allow users to specify which comments should be excluded (e.g., from specific users, containing certain keywords, or not matching topic tags), effectively separating relevant information from noise and preventing information overload.
Solution Approach 2:
The system applies different filtering qualities to different users' comment viewing experiences. Each user can configure personalized filters tailored to their preferences, allowing the same comment stream to have different relevant subsets for different users based on their individual needs and interests.
2Reliability
If filtering mechanisms are added to control comment display, then relevance and user experience improve, but system complexity increases
Solution Approach 1:
The system enables users to configure their own filters based on their personal preferences and needs. Users can independently define filter criteria such as excluded users, keywords, and topic tags without requiring system administrators to pre-configure filtering rules, thereby reducing system complexity while maintaining high relevance.
Solution Approach 2:
The filtering system is dynamic and adaptable, allowing users to modify their filter configurations in real-time based on changing preferences or context. The system adjusts to individual user needs rather than requiring a fixed complex filtering architecture for all users.
3Ease of operation
If comprehensive filter options are provided for users to select from, then ease of operation improves, but device complexity increases
Solution Approach 1:
The filtering system is segmented into multiple independent filter types (user-based filters, keyword filters, topic tag filters). Each filter type operates independently and can be configured separately, making the system easier to operate while managing complexity through modular organization of filtering functionalities.
Data Source
AI summary
Methods, apparatuses and systems directed to filtering comments presented to users in connection with multimedia content, such as video and audio content. In a particular implementation, there are two types of users of this system. A writer comments on sections of a real-time multimedia stream, while readers or viewers observe the discussion embodied by the comments that are displayed.