Topic Thread Aggregation for Digital Magazine Comment Curation
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Solution Overview
Problem
Conventional online systems restrict users to viewing comments associated with a single content item, making it difficult for users to access comments related to an overarching topic, and fail to aggregate content items and comments of interest effectively.
Innovation Solution
A digital magazine server aggregates multiple comment threads based on topic relevance and quality, creating a topic thread around a selected topic by determining the relevance and quality of each comment thread using criteria such as the number of comments, timestamps, and source, and presenting them to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional online systems display comments associated with a single content item, then the system structure remains simple and easy to implement, but users cannot access comments related to an overarching topic and must manually seek out each content item
Solution Approach 1:
The patent merges multiple comment threads from different content items into a single aggregated topic thread. The system combines comments that share common topics across various content items, creating a unified view that allows users to access all topic-related comments in one place rather than manually navigating through individual content items.
Solution Approach 2:
The patent introduces an intermediary aggregation layer between content items and user views. This intermediary component automatically groups and organizes comments by topic, serving as a mediator that transforms the traditional one-to-one content-comment relationship into a many-to-one topic-comment structure, thereby improving user access without requiring manual navigation.
2Quantity of substance
If the system presents all comments from multiple content items, then users can see comprehensive discussion, but the information becomes overwhelming and lacks curation of content likely of interest to users
Solution Approach 1:
The patent applies local quality by differentiating the presentation of comments based on their relevance to the topic. Rather than treating all comments uniformly, the system curates and prioritizes comments that are most relevant to the overarching topic, providing varied quality levels in the aggregation that help users quickly identify the most valuable discussions.
3Productivity
If manual navigation through content items is required to find topic-related comments, then the system requires minimal processing resources, but users experience significant time loss and reduced productivity
Solution Approach 1:
The patent performs preliminary action by automatically aggregating and organizing comments by topic before users need to access them. The system proactively creates topic threads that compile relevant comments from multiple content items in advance, so when users search for topic-related discussions, the information is already prepared and organized, eliminating the need for manual navigation through individual content items.
Data Source
AI summary
A digital magazine server receives user comments on content items of a digital magazine and generates comment threads. A comment thread has one or more user comments associated with a content item and at least one topic. A topic thread on a selected topic includes one or more comment threads related to the selected topic. To select comment threads for a topic thread based on the selected topic, the digital magazine server determines the relevance of the topic of each comment thread to the topic of the topic thread and determines the quality of the comment thread based on a plurality of quality factors such as number of comments and timestamps of the comments in a comment thread. The digital magazine server aggregates the comment threads based on at least one of topic relevance determination and thread quality determination and selects comment threads based on the aggregation.