AI Social Content Summarization for Faster Message Triage

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Solution Overview

Problem

The excessive amount of information on social clients leads to delays in processing and dispersed attention, necessitating improved information content processing efficiency.

Innovation Solution

An AI assistant filters or summarizes information content across multiple service functions of a social client, providing recommendation information content in the form of cards, enhancing information density and processing efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If users switch between different contacts/group chat interfaces/dynamics message spaces to read and reply to social messages, then users can access all information content, but information processing efficiency deteriorates and attention becomes dispersed

Engineering Contradiction:
Improveinformation accessVSAvoidinformation processing efficiency
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The patent merges information from multiple service functions (messaging, group chats, dynamics) into a unified recommendation interface. The AI assistant consolidates scattered information across different interfaces into a single streamlined view, allowing users to access comprehensive information without switching between multiple interfaces, thus improving processing efficiency while maintaining ease of access

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The AI assistant acts as an intermediary between the user and the scattered information across multiple interfaces. It filters, summarizes, and presents relevant information from different service functions through recommendation cards, mediating the complex information landscape into an easily consumable format that improves processing efficiency without sacrificing information accessibility

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If the social client includes multiple service functions with extensive information content, then functionality and versatility improve, but information processing burden increases

Engineering Contradiction:
Improveservice function coverageVSAvoidinformation processing time
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The AI assistant extracts key information from extensive content across multiple service functions and presents it in condensed recommendation cards. By taking out only the most relevant and important information from the vast available content, the system maintains comprehensive service function coverage while significantly reducing the time users need to spend processing information

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system changes the parameter of information presentation from detailed and comprehensive to summarized and condensed. The AI assistant transforms extensive information content into brief recommendation cards that capture essential meaning, allowing users to quickly grasp key points without processing the full volume of information across multiple service functions

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20260003924A1Information content processing method, computer device, and storage medium
Publication Date: 2026.01.01 TENCENT TECHNOLOGY (SHENZHEN) CO LTD
  • US20260003924A1 patent drawing
  • US20260003924A1 patent drawing
  • US20260003924A1 patent drawing

AI summary

An information content processing method performed by a terminal device with a social client logged in with a first account running thereon includes obtaining recommendation information content recommended by an artificial intelligence (AI) assistant for the first account, the recommendation information content being obtained after the AI assistant filters or summarizes information content of the first account in at least one service function of the social client; and displaying the recommendation information content.