Group Message Filtering by Topic Segmentation
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Solution Overview
Problem
In group messaging, users face challenges in receiving only relevant messages due to the lack of options to filter out non-pertinent topics, leading to increased storage and bandwidth consumption on devices.
Innovation Solution
A computer-implemented method and system that filters incoming messages based on user preferences and message context, allowing users to select or receive topic suggestions, with irrelevant messages filtered out at the server side, reducing the volume of incoming messages and conserving device storage and network bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all messages in a group chat are delivered to every user, then users can receive complete information from the group, but users experience increased storage consumption and network bandwidth usage on their devices
Solution Approach 1:
The patent segments group messages by topic categories and delivers only relevant topic segments to each user based on their preferences, rather than delivering all messages完整地. This segmentation approach maintains information completeness for relevant topics while reducing overall data transmission volume and storage requirements.
Solution Approach 2:
The patent extracts and identifies topic information from group messages, then separates relevant messages from irrelevant ones based on user preferences. By taking out only the necessary message content related to user interests, the system reduces bandwidth consumption and device storage usage while preserving essential information.
2Adaptability or versatility
If all messages in a group chat are delivered to every user, then users can participate fully in group discussions, but users face increased device storage requirements
Solution Approach 1:
The patent divides group messages into topic-based segments and delivers only the segments relevant to each user's interests. This allows users to participate fully in discussions about topics they care about while avoiding storage of unrelated message content, thus maintaining participation capability with reduced storage requirements.
Solution Approach 2:
The patent applies local quality by customizing the message delivery for each user based on their specific topic preferences. Each user receives a tailored subset of messages with high relevance to their interests, optimizing storage usage while preserving their ability to engage meaningfully in group discussions on relevant topics.
3Device complexity
If traditional group messaging delivers all messages to all users, then the system remains simple, but users cannot filter out non-pertinent topics
Solution Approach 1:
The patent performs preliminary topic classification and filtering of group messages before delivery to users. By pre-processing messages to identify and categorize topics, the system automatically filters out non-pertinent content based on user preferences, eliminating the need for users to manually filter messages while maintaining system simplicity.
Solution Approach 2:
The patent introduces an intermediary topic analysis layer between the group messaging system and individual users. This intermediary automatically classifies messages by topic and matches them against user preferences, providing intelligent filtering without requiring complex user-side implementation, thus balancing system simplicity with enhanced ease of operation.
Data Source
AI summary
A group message in a messaging group is received. A topic of the group message is determined. One or more recipients of the group message based on the topic of the group message is determined. The recipient is a member of the messaging group. The group message to the determined one or more recipients is transferred.